Prediction based energy-efficient task allocation for delay-constrained wireless sensor networks

Please use this identifier to cite or link to this item: https://doi.org/10.1109/SAHCNW.2009.5172956

Title:	Prediction based energy-efficient task allocation for delay-constrained wireless sensor networks
Authors:	Xiao, W. Low, S.M. Tham, C.K. Das, S.K.
Issue Date:	2009
Citation:	Xiao, W., Low, S.M., Tham, C.K., Das, S.K. (2009). Prediction based energy-efficient task allocation for delay-constrained wireless sensor networks. 2009 6th IEEE Annual Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops, SECON Workshops 2009 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/SAHCNW.2009.5172956
Abstract:	Task allocation in Wireless Sensor Network (WSN) is performed to search for an optimal task schedule for WSN to perform an application. In this paper, we consider a task allocation problem for real-time WSN which aims to conserve as much energy as possible while keeping the latency experienced by the network within a specified value. A novel prediction based MinMin heuristic (P-MinMin) search algorithm is proposed. Simulation results show that the proposed algorithm outperforms existing task allocation algorithms in terms of energy consumption and the capability in meeting real-time requirements demanded by WSN applications. © 2009 IEEE.
Source Title:	2009 6th IEEE Annual Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops, SECON Workshops 2009
URI:	http://scholarbank.nus.edu.sg/handle/10635/129921
ISBN:	9781424439386
DOI:	10.1109/SAHCNW.2009.5172956
Appears in Collections:	Staff Publications

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