Efficient flow-control algorithm cooperating with energy allocation scheme for solar-powered WSNs
- Authors
- 노동건; TAREK ABDELZAHER; TAREK ABDELZAHER
- Issue Date
- 2012
- Publisher
- WILEY-BLACKWELL
- Citation
- WIRELESS COMMUNICATIONS MOBILE COMPUTING, v.12, no.5, pp.379 - 392
- Journal Title
- WIRELESS COMMUNICATIONS MOBILE COMPUTING
- Volume
- 12
- Number
- 5
- Start Page
- 379
- End Page
- 392
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/12530
- DOI
- 10.1002/wcm.965
- ISSN
- 1530-8669
- Abstract
- Recently, solar energy emerged as a feasible supplement to battery power for wireless sensor networks (WSNs) which are expected to operate for long periods. Since solar energy can be harvested periodically and permanently, solar-powered WSNs can use the energy more efficiently for various network-wide performances than traditional battery-based WSNs of which aim is mostly to minimize the energy consumption for extending the network lifetime. However, using solar power in WSNs requires a different energy management from battery-based WSNs since solar power is a highly varying energy supply. Therefore, firstly we describe a time-slot-based energy allocation scheme to use the solar energy optimally, based on expectation model for harvested solar energy. Then, we propose a flow-control algorithm to maximize the amount of data collected by the network, which cooperates with our energy allocation scheme. Our algorithms run on each node in a distributed manner using only local information of its neighbors, which is a suitable approach for scalable WSNs. We implement indoor and outdoor testbeds of solar-powered WSN and demonstrate the efficiency of our approaches on them. Copyright (c) 2010 John Wiley & Sons, Ltd.
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Collections - College of Information Technology > Department of Smart Systems Software > 1. Journal Articles
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