Virtual coordinate system using dominating set for GPS-free adhoc networks

Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance...
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Autor*in:	Shukla, Shailendra [verfasserIn] Misra, Rajiv [verfasserIn] Agarwal, Abhishek [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Wireless sensor networks Virtual coordinates assignment and Dominating set

Übergeordnetes Werk:	Enthalten in: Annals of telecommunications - Paris : Lavoisier, 1946, 72(2017), 3-4 vom: 08. Feb., Seite 199-208
Übergeordnetes Werk:	volume:72 ; year:2017 ; number:3-4 ; day:08 ; month:02 ; pages:199-208

Links:	Volltext

DOI / URN:	10.1007/s12243-017-0563-x

Katalog-ID:	SPR024994510

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520			\|a Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks.
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allfields	10.1007/s12243-017-0563-x doi (DE-627)SPR024994510 (SPR)s12243-017-0563-x-e DE-627 ger DE-627 rakwb eng 620 ASE Shukla, Shailendra verfasserin aut Virtual coordinate system using dominating set for GPS-free adhoc networks 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks. Wireless sensor networks (dpeaa)DE-He213 Virtual coordinates assignment and Dominating set (dpeaa)DE-He213 Misra, Rajiv verfasserin aut Agarwal, Abhishek verfasserin aut Enthalten in Annals of telecommunications Paris : Lavoisier, 1946 72(2017), 3-4 vom: 08. Feb., Seite 199-208 (DE-627)547663234 (DE-600)2391943-7 1958-9395 nnns volume:72 year:2017 number:3-4 day:08 month:02 pages:199-208 https://dx.doi.org/10.1007/s12243-017-0563-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2017 3-4 08 02 199-208
spelling	10.1007/s12243-017-0563-x doi (DE-627)SPR024994510 (SPR)s12243-017-0563-x-e DE-627 ger DE-627 rakwb eng 620 ASE Shukla, Shailendra verfasserin aut Virtual coordinate system using dominating set for GPS-free adhoc networks 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks. Wireless sensor networks (dpeaa)DE-He213 Virtual coordinates assignment and Dominating set (dpeaa)DE-He213 Misra, Rajiv verfasserin aut Agarwal, Abhishek verfasserin aut Enthalten in Annals of telecommunications Paris : Lavoisier, 1946 72(2017), 3-4 vom: 08. Feb., Seite 199-208 (DE-627)547663234 (DE-600)2391943-7 1958-9395 nnns volume:72 year:2017 number:3-4 day:08 month:02 pages:199-208 https://dx.doi.org/10.1007/s12243-017-0563-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2017 3-4 08 02 199-208
allfields_unstemmed	10.1007/s12243-017-0563-x doi (DE-627)SPR024994510 (SPR)s12243-017-0563-x-e DE-627 ger DE-627 rakwb eng 620 ASE Shukla, Shailendra verfasserin aut Virtual coordinate system using dominating set for GPS-free adhoc networks 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks. Wireless sensor networks (dpeaa)DE-He213 Virtual coordinates assignment and Dominating set (dpeaa)DE-He213 Misra, Rajiv verfasserin aut Agarwal, Abhishek verfasserin aut Enthalten in Annals of telecommunications Paris : Lavoisier, 1946 72(2017), 3-4 vom: 08. Feb., Seite 199-208 (DE-627)547663234 (DE-600)2391943-7 1958-9395 nnns volume:72 year:2017 number:3-4 day:08 month:02 pages:199-208 https://dx.doi.org/10.1007/s12243-017-0563-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2017 3-4 08 02 199-208
allfieldsGer	10.1007/s12243-017-0563-x doi (DE-627)SPR024994510 (SPR)s12243-017-0563-x-e DE-627 ger DE-627 rakwb eng 620 ASE Shukla, Shailendra verfasserin aut Virtual coordinate system using dominating set for GPS-free adhoc networks 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks. Wireless sensor networks (dpeaa)DE-He213 Virtual coordinates assignment and Dominating set (dpeaa)DE-He213 Misra, Rajiv verfasserin aut Agarwal, Abhishek verfasserin aut Enthalten in Annals of telecommunications Paris : Lavoisier, 1946 72(2017), 3-4 vom: 08. Feb., Seite 199-208 (DE-627)547663234 (DE-600)2391943-7 1958-9395 nnns volume:72 year:2017 number:3-4 day:08 month:02 pages:199-208 https://dx.doi.org/10.1007/s12243-017-0563-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2017 3-4 08 02 199-208
allfieldsSound	10.1007/s12243-017-0563-x doi (DE-627)SPR024994510 (SPR)s12243-017-0563-x-e DE-627 ger DE-627 rakwb eng 620 ASE Shukla, Shailendra verfasserin aut Virtual coordinate system using dominating set for GPS-free adhoc networks 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks. Wireless sensor networks (dpeaa)DE-He213 Virtual coordinates assignment and Dominating set (dpeaa)DE-He213 Misra, Rajiv verfasserin aut Agarwal, Abhishek verfasserin aut Enthalten in Annals of telecommunications Paris : Lavoisier, 1946 72(2017), 3-4 vom: 08. Feb., Seite 199-208 (DE-627)547663234 (DE-600)2391943-7 1958-9395 nnns volume:72 year:2017 number:3-4 day:08 month:02 pages:199-208 https://dx.doi.org/10.1007/s12243-017-0563-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 72 2017 3-4 08 02 199-208
language	English
source	Enthalten in Annals of telecommunications 72(2017), 3-4 vom: 08. Feb., Seite 199-208 volume:72 year:2017 number:3-4 day:08 month:02 pages:199-208
sourceStr	Enthalten in Annals of telecommunications 72(2017), 3-4 vom: 08. Feb., Seite 199-208 volume:72 year:2017 number:3-4 day:08 month:02 pages:199-208
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Wireless sensor networks Virtual coordinates assignment and Dominating set
dewey-raw	620
isfreeaccess_bool	false
container_title	Annals of telecommunications
authorswithroles_txt_mv	Shukla, Shailendra @@aut@@ Misra, Rajiv @@aut@@ Agarwal, Abhishek @@aut@@
publishDateDaySort_date	2017-02-08T00:00:00Z
hierarchy_top_id	547663234
dewey-sort	3620
id	SPR024994510
language_de	englisch
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author	Shukla, Shailendra
spellingShingle	Shukla, Shailendra ddc 620 misc Wireless sensor networks misc Virtual coordinates assignment and Dominating set Virtual coordinate system using dominating set for GPS-free adhoc networks
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topic_title	620 ASE Virtual coordinate system using dominating set for GPS-free adhoc networks Wireless sensor networks (dpeaa)DE-He213 Virtual coordinates assignment and Dominating set (dpeaa)DE-He213
topic	ddc 620 misc Wireless sensor networks misc Virtual coordinates assignment and Dominating set
topic_unstemmed	ddc 620 misc Wireless sensor networks misc Virtual coordinates assignment and Dominating set
topic_browse	ddc 620 misc Wireless sensor networks misc Virtual coordinates assignment and Dominating set
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title	Virtual coordinate system using dominating set for GPS-free adhoc networks
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title_full	Virtual coordinate system using dominating set for GPS-free adhoc networks
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author_browse	Shukla, Shailendra Misra, Rajiv Agarwal, Abhishek
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title_sort	virtual coordinate system using dominating set for gps-free adhoc networks
title_auth	Virtual coordinate system using dominating set for GPS-free adhoc networks
abstract	Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks.
abstractGer	Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks.
abstract_unstemmed	Abstract Reported work on virtual coordinate assignment (VCA) schemes are iterative-based techniques which rely upon geometric projection (i.e., projecting on circle) or embedding of network topology to low-dimensional Euclidean space (like graph embedding, multidimensional scaling). The performance of existing VCA techniques is constrained by topological situations such as low density or having voids/holes, where greedy forwarding suffers due to local minima when no neighbor is found closer to the destination or low-quality routes comprised of long distance hops. Another drawback of existing VCA techniques is the requirement of thousand iterations for usable coordinate convergence. In order to overcome these drawbacks, we propose a novel virtual coordinate construction technique using graph-theoretic dominating sets. Dominating set (DS) of G is a subset of vertices such that each vertex in G is either in DS or has a neighbor in DS. We found that our virtual coordinate assignment using dominating set algorithm has an approximation ratio $((4.8+\ln 5)opt +1.2)$, where opt is the minimum size dominating set which has the same approximation ratio as minimum dominating set problem. Our algorithm has time complexity $\mathcal {O}(n)$ times and $\mathcal {O}(D)$ rounds and message complexity is $\mathcal {O}(n\log n)$, where D is the radius and n is the number of nodes in networks.
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container_issue	3-4
title_short	Virtual coordinate system using dominating set for GPS-free adhoc networks
url	https://dx.doi.org/10.1007/s12243-017-0563-x
remote_bool	true
author2	Misra, Rajiv Agarwal, Abhishek
author2Str	Misra, Rajiv Agarwal, Abhishek
ppnlink	547663234
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s12243-017-0563-x
up_date	2024-07-04T03:06:34.728Z
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Virtual coordinate system using dominating set for GPS-free adhoc networks

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