Link-gain based power control mechanism for Wireless Sensor Networks
| Autor: | Marwane Ayaida, Frédéric Blanchard, Ismail Bennis, Michel Herbin |
|---|---|
| Přispěvatelé: | Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Physiopathologie des Adaptations Nutritionnelles (PhAN), Université de Nantes - UFR de Médecine et des Techniques Médicales (UFR MEDECINE), Université de Nantes (UN)-Université de Nantes (UN)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Power transmission
Computer science Topology control business.industry Node (networking) 010401 analytical chemistry [SCCO.COMP]Cognitive science/Computer science 020206 networking & telecommunications 02 engineering and technology Energy consumption 01 natural sciences 0104 chemical sciences [STAT.ML]Statistics [stat]/Machine Learning [stat.ML] 0202 electrical engineering electronic engineering information engineering Wireless business Wireless sensor network [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ComputingMilieux_MISCELLANEOUS Efficient energy use Power control Computer network |
| Zdroj: | International Wireless Communications and Mobile Computing Conference (IWCMC) International Wireless Communications and Mobile Computing Conference (IWCMC), 2017, Valencia, Spain. pp.1413-1418, ⟨10.1109/IWCMC.2017.7986491⟩ IWCMC |
| DOI: | 10.1109/IWCMC.2017.7986491⟩ |
| Popis: | Recently, the topology control strategies attract more and more the research community as being a crucial issue to be handled for the Wireless sensors networks (WSNs). In this paper, we propose a centralized power control mechanism based on the link gain information to reduce network energy consumption. Our mechanism works through two steps, first we construct a skeleton that ensure network connectivity while reducing considerably the number of links in the network. Second, based on the obtained skeleton, we reduce the power transmission for each node while keeping a connectivity with a node of the skeleton with a link gain greater than a predefined threshold. The simulation results conducted over TOSSIM, show that our proposal can save the network energy up to 10% while achieving better PDR value, which goes near to 12% compared to non-optimized network. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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