A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity

An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the missio...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Xu, Bei [verfasserIn] Liu, Tao [verfasserIn] Bai, Guanghan [verfasserIn] Tao, Junyong [verfasserIn] Zhang, Yun-an [verfasserIn] Fang, Yining [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	unmanned swarm information exchange network reliability evaluation multistate network state-space decomposition (SSD)

Übergeordnetes Werk:	Enthalten in: Reliability engineering & system safety - London [u.a.] : Elsevier Science, 1988, 219
Übergeordnetes Werk:	volume:219

DOI / URN:	10.1016/j.ress.2021.108221

Katalog-ID:	ELV05634287X

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520			\|a An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm.
650		4	\|a unmanned swarm
650		4	\|a information exchange network
650		4	\|a reliability evaluation
650		4	\|a multistate network
650		4	\|a state-space decomposition (SSD)
700	1		\|a Liu, Tao \|e verfasserin \|4 aut
700	1		\|a Bai, Guanghan \|e verfasserin \|4 aut
700	1		\|a Tao, Junyong \|e verfasserin \|4 aut
700	1		\|a Zhang, Yun-an \|e verfasserin \|4 aut
700	1		\|a Fang, Yining \|e verfasserin \|4 aut
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publishDate	2021
allfields	10.1016/j.ress.2021.108221 doi (DE-627)ELV05634287X (ELSEVIER)S0951-8320(21)00699-2 DE-627 ger DE-627 rda eng 600 VZ 50.16 bkl 85.38 bkl Xu, Bei verfasserin aut A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm. unmanned swarm information exchange network reliability evaluation multistate network state-space decomposition (SSD) Liu, Tao verfasserin aut Bai, Guanghan verfasserin aut Tao, Junyong verfasserin aut Zhang, Yun-an verfasserin aut Fang, Yining verfasserin aut Enthalten in Reliability engineering & system safety London [u.a.] : Elsevier Science, 1988 219 Online-Ressource (DE-627)320608743 (DE-600)2021091-7 (DE-576)259485217 0951-8320 nnns volume:219 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 50.16 Technische Zuverlässigkeit Instandhaltung VZ 85.38 Qualitätsmanagement VZ AR 219
spelling	10.1016/j.ress.2021.108221 doi (DE-627)ELV05634287X (ELSEVIER)S0951-8320(21)00699-2 DE-627 ger DE-627 rda eng 600 VZ 50.16 bkl 85.38 bkl Xu, Bei verfasserin aut A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm. unmanned swarm information exchange network reliability evaluation multistate network state-space decomposition (SSD) Liu, Tao verfasserin aut Bai, Guanghan verfasserin aut Tao, Junyong verfasserin aut Zhang, Yun-an verfasserin aut Fang, Yining verfasserin aut Enthalten in Reliability engineering & system safety London [u.a.] : Elsevier Science, 1988 219 Online-Ressource (DE-627)320608743 (DE-600)2021091-7 (DE-576)259485217 0951-8320 nnns volume:219 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 50.16 Technische Zuverlässigkeit Instandhaltung VZ 85.38 Qualitätsmanagement VZ AR 219
allfields_unstemmed	10.1016/j.ress.2021.108221 doi (DE-627)ELV05634287X (ELSEVIER)S0951-8320(21)00699-2 DE-627 ger DE-627 rda eng 600 VZ 50.16 bkl 85.38 bkl Xu, Bei verfasserin aut A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm. unmanned swarm information exchange network reliability evaluation multistate network state-space decomposition (SSD) Liu, Tao verfasserin aut Bai, Guanghan verfasserin aut Tao, Junyong verfasserin aut Zhang, Yun-an verfasserin aut Fang, Yining verfasserin aut Enthalten in Reliability engineering & system safety London [u.a.] : Elsevier Science, 1988 219 Online-Ressource (DE-627)320608743 (DE-600)2021091-7 (DE-576)259485217 0951-8320 nnns volume:219 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 50.16 Technische Zuverlässigkeit Instandhaltung VZ 85.38 Qualitätsmanagement VZ AR 219
allfieldsGer	10.1016/j.ress.2021.108221 doi (DE-627)ELV05634287X (ELSEVIER)S0951-8320(21)00699-2 DE-627 ger DE-627 rda eng 600 VZ 50.16 bkl 85.38 bkl Xu, Bei verfasserin aut A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm. unmanned swarm information exchange network reliability evaluation multistate network state-space decomposition (SSD) Liu, Tao verfasserin aut Bai, Guanghan verfasserin aut Tao, Junyong verfasserin aut Zhang, Yun-an verfasserin aut Fang, Yining verfasserin aut Enthalten in Reliability engineering & system safety London [u.a.] : Elsevier Science, 1988 219 Online-Ressource (DE-627)320608743 (DE-600)2021091-7 (DE-576)259485217 0951-8320 nnns volume:219 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 50.16 Technische Zuverlässigkeit Instandhaltung VZ 85.38 Qualitätsmanagement VZ AR 219
allfieldsSound	10.1016/j.ress.2021.108221 doi (DE-627)ELV05634287X (ELSEVIER)S0951-8320(21)00699-2 DE-627 ger DE-627 rda eng 600 VZ 50.16 bkl 85.38 bkl Xu, Bei verfasserin aut A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm. unmanned swarm information exchange network reliability evaluation multistate network state-space decomposition (SSD) Liu, Tao verfasserin aut Bai, Guanghan verfasserin aut Tao, Junyong verfasserin aut Zhang, Yun-an verfasserin aut Fang, Yining verfasserin aut Enthalten in Reliability engineering & system safety London [u.a.] : Elsevier Science, 1988 219 Online-Ressource (DE-627)320608743 (DE-600)2021091-7 (DE-576)259485217 0951-8320 nnns volume:219 GBV_USEFLAG_U GBV_ELV SYSFLAG_U GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 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_4338 GBV_ILN_4393 50.16 Technische Zuverlässigkeit Instandhaltung VZ 85.38 Qualitätsmanagement VZ AR 219
language	English
source	Enthalten in Reliability engineering & system safety 219 volume:219
sourceStr	Enthalten in Reliability engineering & system safety 219 volume:219
format_phy_str_mv	Article
bklname	Technische Zuverlässigkeit Instandhaltung Qualitätsmanagement
institution	findex.gbv.de
topic_facet	unmanned swarm information exchange network reliability evaluation multistate network state-space decomposition (SSD)
dewey-raw	600
isfreeaccess_bool	false
container_title	Reliability engineering & system safety
authorswithroles_txt_mv	Xu, Bei @@aut@@ Liu, Tao @@aut@@ Bai, Guanghan @@aut@@ Tao, Junyong @@aut@@ Zhang, Yun-an @@aut@@ Fang, Yining @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	320608743
dewey-sort	3600
id	ELV05634287X
language_de	englisch
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author	Xu, Bei
spellingShingle	Xu, Bei ddc 600 bkl 50.16 bkl 85.38 misc unmanned swarm misc information exchange network misc reliability evaluation misc multistate network misc state-space decomposition (SSD) A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity
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topic_title	600 VZ 50.16 bkl 85.38 bkl A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity unmanned swarm information exchange network reliability evaluation multistate network state-space decomposition (SSD)
topic	ddc 600 bkl 50.16 bkl 85.38 misc unmanned swarm misc information exchange network misc reliability evaluation misc multistate network misc state-space decomposition (SSD)
topic_unstemmed	ddc 600 bkl 50.16 bkl 85.38 misc unmanned swarm misc information exchange network misc reliability evaluation misc multistate network misc state-space decomposition (SSD)
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title	A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity
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title_full	A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity
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title_sort	a multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity
title_auth	A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity
abstract	An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm.
abstractGer	An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm.
abstract_unstemmed	An unmanned swarm is a group of numerous unmanned ground or aerial vehicles performing tasks in a self-organized and self-adaptive manner to achieve an overall mission objective. Efficient and reliable information exchange among the agents is essential for the unmanned swarm to accomplish the mission. Thus, it is important to provide an accurate reliability model and a corresponding efficient method of evaluation for the unmanned swarm information exchange network (USIEN). In this paper, we develop a multistate network model for the reliability evaluation of USIEN that considers the capacity for information exchange. We propose an overall reliability metric to evaluate the reliability of USIEN under certain missions. In addition, an improved fast state-space decomposition (SSD) bounding algorithm with a reliability threshold for approximating the proposed reliability metric is developed. Results and comparisons with extant studies show that the proposed model and metric lead to a more realistic method to evaluate the reliability of USIEN. Efficiency investigations indicate that the proposed algorithm provides an efficient approximation of reliability for the large unmanned swarm. The proposed model and metric can be used to support mission planning and the design of an unmanned swarm.
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title_short	A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity
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author2	Liu, Tao Bai, Guanghan Tao, Junyong Zhang, Yun-an Fang, Yining
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up_date	2024-07-06T20:06:50.646Z
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A multistate network approach for reliability evaluation of unmanned swarms by considering information exchange capacity

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