A Three-step Methodology for Stochastic Deployment of Wireless Sensor Networks

This paper presents a three-step methodology for stochastic deployment of wireless sensor networks. While the first step uses simulation to elaborate strategies for a given deployment scenario, the second step consists of applying vertical variance trimming techniques to reduce the number of non-redundant alternative strategies. The final step consists of formulating and solving the problem as a multi-attribute decision problem using grey number theory due to the uncertain character of simulation data. Decision-makers can use this methodology to determine the best deployment strategies based on mission specific goals. This methodology can be used to simplify the decision-making process and provide decision-makers the ability to consider all factors involved in the wireless sensor network deployment problem. The methodology can be easily customized to include numerous quality factors to further compare deployment strategies and identify the one that best meet applications requirements.