Opportunistic Routing in Wireless Sensor Networks Powered by Ambient Energy Harvesting

Energy consumption is an important issue in the design of wireless sensor networks (WSNs) which typically rely on portable energy sources like batteries for power. Recent advances in ambient energy harvesting technologies have made it possible for sensor nodes to be powered by ambient energy entirel...

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Main Authors: EU, Zhi Ang, TAN, Hwee-Pink, SEAH, Winston K. G.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2010
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Online Access:https://ink.library.smu.edu.sg/sis_research/2954
https://ink.library.smu.edu.sg/context/sis_research/article/3954/viewcontent/OpportunistRoutingWSN_ComNet_2010.pdf
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spelling sg-smu-ink.sis_research-39542016-01-28T07:18:19Z Opportunistic Routing in Wireless Sensor Networks Powered by Ambient Energy Harvesting EU, Zhi Ang TAN, Hwee-Pink SEAH, Winston K. G. Energy consumption is an important issue in the design of wireless sensor networks (WSNs) which typically rely on portable energy sources like batteries for power. Recent advances in ambient energy harvesting technologies have made it possible for sensor nodes to be powered by ambient energy entirely without the use of batteries. However, since the energy harvesting process is stochastic, exact sleep-and-wakeup schedules cannot be determined in WSNs Powered solely using Ambient Energy Harvesters (WSN–HEAP). Therefore, many existing WSN routing protocols cannot be used in WSN–HEAP. In this paper, we design an opportunistic routing protocol (EHOR) for multi-hop WSN–HEAP. Unlike traditional opportunistic routing protocols like ExOR or MORE, EHOR takes into account energy constraints because nodes have to shut down to recharge once their energy are depleted. Furthermore, since the rate of charging is dependent on environmental factors, the exact identities of nodes that are awake cannot be determined in advance. Therefore, choosing an optimal forwarder is another challenge in EHOR. We use a regioning approach to achieve this goal. Using extensive simulations incorporating experimental results from the characterization of different types of energy harvesters, we evaluate EHOR and the results show that EHOR increases goodput and efficiency compared to traditional opportunistic routing protocols and other non-opportunistic routing protocols suited for WSN–HEAP. 2010-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2954 info:doi/10.1016/j.comnet.2010.05.012 https://ink.library.smu.edu.sg/context/sis_research/article/3954/viewcontent/OpportunistRoutingWSN_ComNet_2010.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Opportunistic routing Wireless sensor networks Energy harvesting Computer Sciences Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Opportunistic routing
Wireless sensor networks
Energy harvesting
Computer Sciences
Software Engineering
spellingShingle Opportunistic routing
Wireless sensor networks
Energy harvesting
Computer Sciences
Software Engineering
EU, Zhi Ang
TAN, Hwee-Pink
SEAH, Winston K. G.
Opportunistic Routing in Wireless Sensor Networks Powered by Ambient Energy Harvesting
description Energy consumption is an important issue in the design of wireless sensor networks (WSNs) which typically rely on portable energy sources like batteries for power. Recent advances in ambient energy harvesting technologies have made it possible for sensor nodes to be powered by ambient energy entirely without the use of batteries. However, since the energy harvesting process is stochastic, exact sleep-and-wakeup schedules cannot be determined in WSNs Powered solely using Ambient Energy Harvesters (WSN–HEAP). Therefore, many existing WSN routing protocols cannot be used in WSN–HEAP. In this paper, we design an opportunistic routing protocol (EHOR) for multi-hop WSN–HEAP. Unlike traditional opportunistic routing protocols like ExOR or MORE, EHOR takes into account energy constraints because nodes have to shut down to recharge once their energy are depleted. Furthermore, since the rate of charging is dependent on environmental factors, the exact identities of nodes that are awake cannot be determined in advance. Therefore, choosing an optimal forwarder is another challenge in EHOR. We use a regioning approach to achieve this goal. Using extensive simulations incorporating experimental results from the characterization of different types of energy harvesters, we evaluate EHOR and the results show that EHOR increases goodput and efficiency compared to traditional opportunistic routing protocols and other non-opportunistic routing protocols suited for WSN–HEAP.
format text
author EU, Zhi Ang
TAN, Hwee-Pink
SEAH, Winston K. G.
author_facet EU, Zhi Ang
TAN, Hwee-Pink
SEAH, Winston K. G.
author_sort EU, Zhi Ang
title Opportunistic Routing in Wireless Sensor Networks Powered by Ambient Energy Harvesting
title_short Opportunistic Routing in Wireless Sensor Networks Powered by Ambient Energy Harvesting
title_full Opportunistic Routing in Wireless Sensor Networks Powered by Ambient Energy Harvesting
title_fullStr Opportunistic Routing in Wireless Sensor Networks Powered by Ambient Energy Harvesting
title_full_unstemmed Opportunistic Routing in Wireless Sensor Networks Powered by Ambient Energy Harvesting
title_sort opportunistic routing in wireless sensor networks powered by ambient energy harvesting
publisher Institutional Knowledge at Singapore Management University
publishDate 2010
url https://ink.library.smu.edu.sg/sis_research/2954
https://ink.library.smu.edu.sg/context/sis_research/article/3954/viewcontent/OpportunistRoutingWSN_ComNet_2010.pdf
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