Adaptive cross-layer routing protocol for optimizing energy harvesting time in WSN

Arindam  Giri; Subrata  Dutta; Sarmistha  Neogy; Bikrant Koirala; Keshav Dahal

doi:10.1007/s11277-021-08927-w

Adaptive cross-layer routing protocol for optimizing energy harvesting time in WSN

Arindam Giri^*, Subrata Dutta, Sarmistha Neogy, Bikrant Koirala, Keshav Dahal

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

Trade-off between energy conservation and efficiency is one of the most important issues in designing Wireless Sensor Network (WSN) based applications. Network life time is primarily determined by the life time of battery. Recently, energy harvesting techniques that will recharge the battery in different non-conventional ways are being investigated by researchers. In this paper, an adaptive cross layer protocol is proposed which will provide trade off between energy harvesting time and active time for message transmission with the aim of increasing network lifetime. Depending on the value of various network parameters like, remaining energy of node, node density, message density in a particular region of the network, the cross-layer protocol will change its policy. The paper also proposes a cluster head selection method that ensures maximum network life time and higher quality of service. The result shows an overall increase in network lifetime as compared to other protocols.

Original language	English
Pages (from-to)	825-843
Number of pages	19
Journal	Wireless Personal Communications
Volume	122
Early online date	26 Aug 2021
DOIs	https://doi.org/10.1007/s11277-021-08927-w
Publication status	Published - 31 Jan 2022

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2021 08 08 Giri et al Adaptive acceptedAccepted author manuscript, 1.35 MB

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abstract = "Trade-off between energy conservation and efficiency is one of the most important issues in designing Wireless Sensor Network (WSN) based applications. Network life time is primarily determined by the life time of battery. Recently, energy harvesting techniques that will recharge the battery in different non-conventional ways are being investigated by researchers. In this paper, an adaptive cross layer protocol is proposed which will provide trade off between energy harvesting time and active time for message transmission with the aim of increasing network lifetime. Depending on the value of various network parameters like, remaining energy of node, node density, message density in a particular region of the network, the cross-layer protocol will change its policy. The paper also proposes a cluster head selection method that ensures maximum network life time and higher quality of service. The result shows an overall increase in network lifetime as compared to other protocols.",

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AU - Giri, Arindam

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AU - Neogy, Sarmistha

AU - Koirala, Bikrant

AU - Dahal, Keshav

PY - 2022/1/31

Y1 - 2022/1/31

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AB - Trade-off between energy conservation and efficiency is one of the most important issues in designing Wireless Sensor Network (WSN) based applications. Network life time is primarily determined by the life time of battery. Recently, energy harvesting techniques that will recharge the battery in different non-conventional ways are being investigated by researchers. In this paper, an adaptive cross layer protocol is proposed which will provide trade off between energy harvesting time and active time for message transmission with the aim of increasing network lifetime. Depending on the value of various network parameters like, remaining energy of node, node density, message density in a particular region of the network, the cross-layer protocol will change its policy. The paper also proposes a cluster head selection method that ensures maximum network life time and higher quality of service. The result shows an overall increase in network lifetime as compared to other protocols.

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DO - 10.1007/s11277-021-08927-w

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VL - 122

SP - 825

EP - 843

JO - Wireless Personal Communications

JF - Wireless Personal Communications

ER -

Adaptive cross-layer routing protocol for optimizing energy harvesting time in WSN

Abstract

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