Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks
Wireless sensor nodes are usually powered by batteries and deployed in unmanned outdoors or dangerous regions. So, constrained energy is a prominent feature for wireless sensor networks. Since the radio transceiver typically consumes more energies than any other hardware component on a sensor node,...
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2013-08-01
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Series: | International Journal of Distributed Sensor Networks |
Online Access: | https://doi.org/10.1155/2013/216561 |
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doaj-eba4c9d2b0ea4e44866e0c823135f89d2020-11-25T04:03:12ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772013-08-01910.1155/2013/216561Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor NetworksHaifeng Jiang0Yanjing Sun1Renke Sun2Hongli Xu3 School of Computer Science & Technology, China University of Mining and Technology, Xuzhou 221116, China School of Information & Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China School of Computer Science & Technology, China University of Mining and Technology, Xuzhou 221116, China Suzhou Institute for Advanced Study, University of Science and Technology of China, Suzhou 215123, ChinaWireless sensor nodes are usually powered by batteries and deployed in unmanned outdoors or dangerous regions. So, constrained energy is a prominent feature for wireless sensor networks. Since the radio transceiver typically consumes more energies than any other hardware component on a sensor node, it is of great importance to design energy optimized routing algorithm to prolong network lifetime. In this work, based on analysis of energy consumption for data transceiver, single-hop forwarding scheme is proved to consume less energy than multihop forwarding scheme within the communication range of the source sensor or a current forwarder, using free space energy consumption model. We adopt the social welfare function to predict inequality of residual energy of neighbors after selecting different next hop nodes. Based on energy inequality, the method is designed to compute the degree of energy balance. Parameters such as degree of closeness of node to the shortest path, degree of closeness of node to Sink, and degree of energy balance are put into fuzzy logic system. Fuzzy-logic-based energy optimized routing algorithm is proposed to achieve multiparameter, fuzzy routing decision. Simulation results show that the algorithm effectively extends the network lifetime and has achieved energy efficiency and energy balance together, compared with similar algorithms.https://doi.org/10.1155/2013/216561 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Haifeng Jiang Yanjing Sun Renke Sun Hongli Xu |
spellingShingle |
Haifeng Jiang Yanjing Sun Renke Sun Hongli Xu Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks International Journal of Distributed Sensor Networks |
author_facet |
Haifeng Jiang Yanjing Sun Renke Sun Hongli Xu |
author_sort |
Haifeng Jiang |
title |
Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks |
title_short |
Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks |
title_full |
Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks |
title_fullStr |
Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks |
title_full_unstemmed |
Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks |
title_sort |
fuzzy-logic-based energy optimized routing for wireless sensor networks |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2013-08-01 |
description |
Wireless sensor nodes are usually powered by batteries and deployed in unmanned outdoors or dangerous regions. So, constrained energy is a prominent feature for wireless sensor networks. Since the radio transceiver typically consumes more energies than any other hardware component on a sensor node, it is of great importance to design energy optimized routing algorithm to prolong network lifetime. In this work, based on analysis of energy consumption for data transceiver, single-hop forwarding scheme is proved to consume less energy than multihop forwarding scheme within the communication range of the source sensor or a current forwarder, using free space energy consumption model. We adopt the social welfare function to predict inequality of residual energy of neighbors after selecting different next hop nodes. Based on energy inequality, the method is designed to compute the degree of energy balance. Parameters such as degree of closeness of node to the shortest path, degree of closeness of node to Sink, and degree of energy balance are put into fuzzy logic system. Fuzzy-logic-based energy optimized routing algorithm is proposed to achieve multiparameter, fuzzy routing decision. Simulation results show that the algorithm effectively extends the network lifetime and has achieved energy efficiency and energy balance together, compared with similar algorithms. |
url |
https://doi.org/10.1155/2013/216561 |
work_keys_str_mv |
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1724441267787530240 |