Abstract
In this paper a new fuzzy based approach for
improving network coverage in wireless mobile sensor
networks is proposed. In the proposed approach firstly
each mobile sensor node determines its neighbors and its
distance from borders and obstacles. According to these
values, fuzzy inference engine calculates the priority of
node for movement. Then according to the priority, in
turn, nodes move away from each other to increase
coverage area in the target field. Simulation results show
that our fuzzy approach can reach higher degree of
coverage against other common approaches like FOA,
VEC and TRI algorithms.
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