An Adjustable Target Coverage Method in Directional Sensor Networks

Authors:
Uei-Ren Chen;Bo-Sheng Chiou;Jyun-Ming Chen;Woei Lin
Affiliations:
-;-;-;-
Venue:
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
Year:
2008

Citing 0
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simDSN: A Simulation Platform for the Sensing Coverage Problem in Directional Sensor Networks

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Abstract

The coverage problem for targets with directional sensor nodes has been studied in this paper. To improve the coverage rate for targets, we propose a Weighted Centralized Greedy Algorithm (WCGA). The weight function added in the WCGA could be adjusted according to different density of sensor nodes in directional sensor networks. A serious of experiments have been performed to evaluate the performance of the proposed method. Simulation results show the improvement of the target coverage rate and the effectiveness of the proposed method.