Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor Networks
Wireless sensor networks (WSNs) are considered as a suitable solution for long-time and large-scale outdoor environmental monitoring. However, an important feature that distinguishes the WSNs from traditional monitoring systems is their energy constraints. In fact, these nodes have often a limited a...
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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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Series: | Journal of Computer Networks and Communications |
Online Access: | http://dx.doi.org/10.1155/2012/767920 |
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author | Abdellah Chehri Hussein T. Mouftah |
author_facet | Abdellah Chehri Hussein T. Mouftah |
author_sort | Abdellah Chehri |
collection | DOAJ |
description | Wireless sensor networks (WSNs) are considered as a suitable solution for long-time and large-scale outdoor environmental monitoring. However, an important feature that distinguishes the WSNs from traditional monitoring systems is their energy constraints. In fact, these nodes have often a limited and usually nonreplenishable power source. Therefore managing these limited resources is a key challenge. In this paper we use an optimization scheme based on adaptive modulation and power control for a green routing protocol. The optimization mechanism is subject to certain QoS requirements in terms of total end-to-end delay time and bit error rate. The simulation results show that the proposed algorithm can, theoretically, reduce the consumed energy of the sensor nodes almost to half. |
format | Article |
id | doaj-art-7fadbe7d039f45d88d1063ec602d401e |
institution | Kabale University |
issn | 2090-7141 2090-715X |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Computer Networks and Communications |
spelling | doaj-art-7fadbe7d039f45d88d1063ec602d401e2025-02-03T01:06:44ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2012-01-01201210.1155/2012/767920767920Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor NetworksAbdellah Chehri0Hussein T. Mouftah1School of Information Technology and Engineering, University of Ottawa, 800 King Edward Avenue, Ottawa, ON, K1N 6N5, CanadaSchool of Information Technology and Engineering, University of Ottawa, 800 King Edward Avenue, Ottawa, ON, K1N 6N5, CanadaWireless sensor networks (WSNs) are considered as a suitable solution for long-time and large-scale outdoor environmental monitoring. However, an important feature that distinguishes the WSNs from traditional monitoring systems is their energy constraints. In fact, these nodes have often a limited and usually nonreplenishable power source. Therefore managing these limited resources is a key challenge. In this paper we use an optimization scheme based on adaptive modulation and power control for a green routing protocol. The optimization mechanism is subject to certain QoS requirements in terms of total end-to-end delay time and bit error rate. The simulation results show that the proposed algorithm can, theoretically, reduce the consumed energy of the sensor nodes almost to half.http://dx.doi.org/10.1155/2012/767920 |
spellingShingle | Abdellah Chehri Hussein T. Mouftah Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor Networks Journal of Computer Networks and Communications |
title | Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor Networks |
title_full | Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor Networks |
title_fullStr | Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor Networks |
title_full_unstemmed | Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor Networks |
title_short | Energy Efficiency Adaptation for Multihop Routing in Wireless Sensor Networks |
title_sort | energy efficiency adaptation for multihop routing in wireless sensor networks |
url | http://dx.doi.org/10.1155/2012/767920 |
work_keys_str_mv | AT abdellahchehri energyefficiencyadaptationformultihoproutinginwirelesssensornetworks AT husseintmouftah energyefficiencyadaptationformultihoproutinginwirelesssensornetworks |