A Probabilistic Signal-Strength-Based Evaluation Methodology for Sensor Network Deployment

  • Authors:
  • Sheng-Po Kuo;Yu-Chee Tseng;Fang-Jing Wu;Chun-Yu Lin

  • Affiliations:
  • National Chiao-Tung University;National Chiao-Tung University;National Chiao-Tung University;Industrial Technology Research Institute

  • Venue:
  • AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
  • Year:
  • 2005

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Abstract

The deployment of senor networks have attracted a lot of attention recently. In essence this issue is concerned with how well a sensing field is monitored by sensors to achieve a particular coverage. In this paper, we propose asignal-strength-based approach to evaluate how well a sensing field is covered/monitored. We first formulate object tracking by a single sensor as a Gaussian-error model. Then we establish an error model on location estimation given that the location of an object is known. This leads to a model to evaluate a sensor network with given locations of sensors. We then apply the result to several applications, such as adding more sensor nodes for error reduction and scheduling power modes (awake or sleep) of sensors, and demonstrate our simulation results.