An Improved Cluster Head Selection in Routing for Solar Energy-Harvesting Multi-heterogeneous Wireless Sensor Networks
Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries thro...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sharma, Deepak [verfasserIn] |
|---|
| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Wireless personal communications - Springer US, 1994, 108(2019), 4 vom: 11. Mai, Seite 2213-2228 |
|---|---|
| Übergeordnetes Werk: |
volume:108 ; year:2019 ; number:4 ; day:11 ; month:05 ; pages:2213-2228 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11277-019-06518-4 |
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OLC2053829877 |
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| 520 | |a Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. | ||
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| 650 | 4 | |a Heterogeneity | |
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10.1007/s11277-019-06518-4 doi (DE-627)OLC2053829877 (DE-He213)s11277-019-06518-4-p DE-627 ger DE-627 rakwb eng 620 VZ Sharma, Deepak verfasserin (orcid)0000-0002-6899-270X aut An Improved Cluster Head Selection in Routing for Solar Energy-Harvesting Multi-heterogeneous Wireless Sensor Networks 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. Wireless sensor networks Energy-harvesting Clustering Routing Heterogeneity Internet of Things Bhondekar, Amol P. aut Enthalten in Wireless personal communications Springer US, 1994 108(2019), 4 vom: 11. Mai, Seite 2213-2228 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:108 year:2019 number:4 day:11 month:05 pages:2213-2228 https://doi.org/10.1007/s11277-019-06518-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 AR 108 2019 4 11 05 2213-2228 |
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10.1007/s11277-019-06518-4 doi (DE-627)OLC2053829877 (DE-He213)s11277-019-06518-4-p DE-627 ger DE-627 rakwb eng 620 VZ Sharma, Deepak verfasserin (orcid)0000-0002-6899-270X aut An Improved Cluster Head Selection in Routing for Solar Energy-Harvesting Multi-heterogeneous Wireless Sensor Networks 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. Wireless sensor networks Energy-harvesting Clustering Routing Heterogeneity Internet of Things Bhondekar, Amol P. aut Enthalten in Wireless personal communications Springer US, 1994 108(2019), 4 vom: 11. Mai, Seite 2213-2228 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:108 year:2019 number:4 day:11 month:05 pages:2213-2228 https://doi.org/10.1007/s11277-019-06518-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 AR 108 2019 4 11 05 2213-2228 |
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10.1007/s11277-019-06518-4 doi (DE-627)OLC2053829877 (DE-He213)s11277-019-06518-4-p DE-627 ger DE-627 rakwb eng 620 VZ Sharma, Deepak verfasserin (orcid)0000-0002-6899-270X aut An Improved Cluster Head Selection in Routing for Solar Energy-Harvesting Multi-heterogeneous Wireless Sensor Networks 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. Wireless sensor networks Energy-harvesting Clustering Routing Heterogeneity Internet of Things Bhondekar, Amol P. aut Enthalten in Wireless personal communications Springer US, 1994 108(2019), 4 vom: 11. Mai, Seite 2213-2228 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:108 year:2019 number:4 day:11 month:05 pages:2213-2228 https://doi.org/10.1007/s11277-019-06518-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 AR 108 2019 4 11 05 2213-2228 |
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10.1007/s11277-019-06518-4 doi (DE-627)OLC2053829877 (DE-He213)s11277-019-06518-4-p DE-627 ger DE-627 rakwb eng 620 VZ Sharma, Deepak verfasserin (orcid)0000-0002-6899-270X aut An Improved Cluster Head Selection in Routing for Solar Energy-Harvesting Multi-heterogeneous Wireless Sensor Networks 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. Wireless sensor networks Energy-harvesting Clustering Routing Heterogeneity Internet of Things Bhondekar, Amol P. aut Enthalten in Wireless personal communications Springer US, 1994 108(2019), 4 vom: 11. Mai, Seite 2213-2228 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:108 year:2019 number:4 day:11 month:05 pages:2213-2228 https://doi.org/10.1007/s11277-019-06518-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 AR 108 2019 4 11 05 2213-2228 |
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10.1007/s11277-019-06518-4 doi (DE-627)OLC2053829877 (DE-He213)s11277-019-06518-4-p DE-627 ger DE-627 rakwb eng 620 VZ Sharma, Deepak verfasserin (orcid)0000-0002-6899-270X aut An Improved Cluster Head Selection in Routing for Solar Energy-Harvesting Multi-heterogeneous Wireless Sensor Networks 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC, part of Springer Nature 2019 Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. Wireless sensor networks Energy-harvesting Clustering Routing Heterogeneity Internet of Things Bhondekar, Amol P. aut Enthalten in Wireless personal communications Springer US, 1994 108(2019), 4 vom: 11. Mai, Seite 2213-2228 (DE-627)188950273 (DE-600)1287489-9 (DE-576)049958909 0929-6212 nnns volume:108 year:2019 number:4 day:11 month:05 pages:2213-2228 https://doi.org/10.1007/s11277-019-06518-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MKW GBV_ILN_70 AR 108 2019 4 11 05 2213-2228 |
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an improved cluster head selection in routing for solar energy-harvesting multi-heterogeneous wireless sensor networks |
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An Improved Cluster Head Selection in Routing for Solar Energy-Harvesting Multi-heterogeneous Wireless Sensor Networks |
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Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
| abstractGer |
Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
| abstract_unstemmed |
Abstract Wireless sensor network (WSN) is an effective and efficient technology for field information collection in Internet of Things arena. Generally, the lifetime of any WSN is restricted due to the limited battery capacities available with its sensor nodes. Replenishing the nodes’ batteries through energy-harvesting is becoming popular nowadays for improving the lifetime of the WSNs. Wireless communication activities of the sensor nodes take a major chunk of battery’s energy during WSN operations and to optimize the energy dissipation, energy-efficiency is given prime importance in routing decisions. The WSN heterogeneity (e.g., sensor nodes with heterogeneous sensing requirements, nodes with different energies, etc.) has become unavoidable and its effective exploitation further complicates the routing challenges. To fulfill the requirements of a realistic WSN system, this paper considers a multi-heterogeneity WSN scenario with sensors nodes having different initial energies and different traffic requirements along with solar energy-harvesting capabilities. An improved cluster-head selection based routing algorithm is proposed for the scenario, which exploits effectively the WSN heterogeneities in terms of energy, traffic and energy-harvesting. To highlight the performance of the proposed algorithm, the system is considered non energy-neutral, i.e. the energy dissipation of the system is higher than the system’s harvesting energy over a longer time period. The proposed algorithm, Energy-Harvesting, Traffic and Energy Aware Routing, improves the WSN stability period over existing routing algorithms under the scenario, where the stability period signifies the WSN lifetime till all the nodes are alive and represents the most reliable period of an operational WSN. © Springer Science+Business Media, LLC, part of Springer Nature 2019 |
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An Improved Cluster Head Selection in Routing for Solar Energy-Harvesting Multi-heterogeneous Wireless Sensor Networks |
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