Abstract
Wireless sensor networks (WSNs) consist of large numbers of micro-sensor nodes that have both communication and computing capabilities. The size of the coverage area of each sensor node determines the overall performance of the WSN. In this paper, a novel sensor deployment scheme based on the social spider optimization (SSO) algorithm is proposed to enable increased coverage for WSNs. In the SSO algorithm, the individual simulated social spiders’ habits and their labor and cooperation efforts are divided according to gender differences. Simulations experiment are used to demonstrate the effectiveness of the proposed method.
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