A Novel -Inspired Routing Protocol for Wireless Sensor Networks
There is a tradeoff between routing efficiency and energy equilibrium for sensor nodes in wireless sensor networks (WSNs). Inspired by the large and single-celled amoeboid organism, slime mold Physarum polycephalum , this paper presents a novel Physarum -inspired routing protocol (P-iRP) for WSNs to...
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2013-06-01
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Series: | International Journal of Distributed Sensor Networks |
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doaj-09e835f793e444ccbd2e4d6a7d52700d2020-11-25T03:33:02ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-06-01910.1155/2013/483581A Novel -Inspired Routing Protocol for Wireless Sensor NetworksMingchuan Zhang0Changqiao Xu1Jianfeng Guan2Ruijuan Zheng3Qingtao Wu4Hongke Zhang5 Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University, Beijing 100876, China National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University, Beijing 100876, China Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China Information Engineering College, Henan University of Science and Technology, Luoyang 471023, China National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University, Beijing 100876, ChinaThere is a tradeoff between routing efficiency and energy equilibrium for sensor nodes in wireless sensor networks (WSNs). Inspired by the large and single-celled amoeboid organism, slime mold Physarum polycephalum , this paper presents a novel Physarum -inspired routing protocol (P-iRP) for WSNs to address the above issue. In P-iRP, a sensor node can choose the proper next hop by using a proposed Physarum -inspired selecting next hop model (P-iSNH), which comprehensively considers the distance, energy residue, and location of the next hop. As a result, the P-iRP can get a rather low algorithm complexity of O ( n ) , which greatly reduces the processing delay and saves the energy of sensors. Moreover, by theoretical analysis, the P-iSNH always has an equilibrium solution for multiple next hop candidates, which is vital factor to the stability of routing protocol. Finally, simulation results show that P-iRP can perform better in many scenarios and achieve the effective tradeoff between routing efficiency and energy equilibrium compared to other famous algorithms.https://doi.org/10.1155/2013/483581 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mingchuan Zhang Changqiao Xu Jianfeng Guan Ruijuan Zheng Qingtao Wu Hongke Zhang |
spellingShingle |
Mingchuan Zhang Changqiao Xu Jianfeng Guan Ruijuan Zheng Qingtao Wu Hongke Zhang A Novel -Inspired Routing Protocol for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
author_facet |
Mingchuan Zhang Changqiao Xu Jianfeng Guan Ruijuan Zheng Qingtao Wu Hongke Zhang |
author_sort |
Mingchuan Zhang |
title |
A Novel -Inspired Routing Protocol for Wireless Sensor Networks |
title_short |
A Novel -Inspired Routing Protocol for Wireless Sensor Networks |
title_full |
A Novel -Inspired Routing Protocol for Wireless Sensor Networks |
title_fullStr |
A Novel -Inspired Routing Protocol for Wireless Sensor Networks |
title_full_unstemmed |
A Novel -Inspired Routing Protocol for Wireless Sensor Networks |
title_sort |
novel -inspired routing protocol for wireless sensor networks |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2013-06-01 |
description |
There is a tradeoff between routing efficiency and energy equilibrium for sensor nodes in wireless sensor networks (WSNs). Inspired by the large and single-celled amoeboid organism, slime mold Physarum polycephalum , this paper presents a novel Physarum -inspired routing protocol (P-iRP) for WSNs to address the above issue. In P-iRP, a sensor node can choose the proper next hop by using a proposed Physarum -inspired selecting next hop model (P-iSNH), which comprehensively considers the distance, energy residue, and location of the next hop. As a result, the P-iRP can get a rather low algorithm complexity of O ( n ) , which greatly reduces the processing delay and saves the energy of sensors. Moreover, by theoretical analysis, the P-iSNH always has an equilibrium solution for multiple next hop candidates, which is vital factor to the stability of routing protocol. Finally, simulation results show that P-iRP can perform better in many scenarios and achieve the effective tradeoff between routing efficiency and energy equilibrium compared to other famous algorithms. |
url |
https://doi.org/10.1155/2013/483581 |
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