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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/10328

Title: Data collection for distributed surveillance sensor networks in disaster-hit regions
Authors: Zhao, Yao
Wang, Xin
Zhao, Jin
Lim, Azman Osman
Keywords: Wireless Sensor Networks
Data Collection
Issue Date: 2010-10
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2010 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)
Start page: 1
End page: 9
Abstract: The objective of many applications with the surveillance missions in wireless sensor networks is to provide long-term monitoring of the specific environments, such as disaster-hit regions. These applications usually perform continuous monitoring without any maintenance, even if some sensor nodes fail. A significant challenge when designing the data collection approaches for such systems is that the conventional communication protocolsfor wireless sensor networks would present low efficiency, since the network topology changes rapidly due to the node failure. Thus the sensor nodes in such systems should use an automatic transmission approach to disseminate their sensed data to the sink in a distributed manner. In this paper, we propose a novel Coding-based Probabilistic Routing (CPR) to address this specific problem of data collection for distributed surveillance sensor networks in disaster-hit regions. CPR dynamically adapts to node failure to collect the maximum data in any given time and chooses an optimal probabilistic routing to decrease the transmission consumption. The extensive simulation results are presented to show that CPR outperforms other strategies.
Rights: Copyright (C) 2010 IEEE. Reprinted from 2010 6th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2010, 1-9. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
URI: http://hdl.handle.net/10119/10328
Material Type: publisher
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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