Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17055
Title: Optimizing data acquisition by sensor-channel co-allocation in wireless sensor networks
Authors: Wang, Y
Wang, CL
Cao, JN 
Chan, A 
Keywords: Co-allocation
Completeness
Data quality
Heuristic
Scheduling
Timeliness
Wireless sensor network
Issue Date: 2010
Source: 17th International Conference on High Performance Computing, HiPC 2010, 2010, 5713167 How to cite?
Abstract: Wireless sensor networks (WSNs) should handle multiple sensing tasks for various applications. How to improve the quality of the data acquired in such resource constrained environment is a challenging issue. In this paper, we propose a sensor-channel co-allocation model for scheduling the sensing tasks. The proposed model considers the capability, coupling and load balancing constraints for sensing data acquisition, and can guarantee transmission of sensed data in real-time while avoiding data incompleteness in an efficient way. A spatiotemporal metric called sensing-span is proposed to evaluate the tasks' execution cost of achieving desired data quality. We extend computation task scheduling algorithms to support sensor-channel co-allocation problem and a heuristic called Minimum Service Capability Fragment (MSCF) is introduced for task scheduling to minimize the waste of reserved channel capacity. Simulation results show that MSCF can improve the performance of data acquisition in WSNs as compared with other heuristics, when scheduling a large number of concurrent data acquisition tasks.
Description: 17th International Conference on High Performance Computing, HiPC 2010, Goa, 19-22 December 2010
URI: http://hdl.handle.net/10397/17055
ISBN: 9781424485185
DOI: 10.1109/HIPC.2010.5713167
Appears in Collections:Conference Paper

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