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In this article we applied modified binary particle swarm optimization algorithm for solving the sensor placement in distributed sensor networks. PSO is a real value algorithm, and the discrete PSO is proposed to be adapted to discrete binary space. In the distributed sensor networks, the sensor placement is NP-complete for arbitrary sensor fields and it is(More)
Several position-based routing protocols have been developed for mobile ad hoc networks. Many of these protocols assume that a location service is available which provides location information on the nodes in the network. This paper introduces a new schema in management of mobile nodes location in mobile ad hoc networks. Fuzzy logic optimization is applied(More)
Adequate coverage is one of the main problems for Sensor Networks. The effectiveness of distributed wireless sensor networks highly depends on the sensor deployment scheme. Optimizing the sensor deployment provides sufficient sensor coverage and saves cost of sensors for locating in grid points. This article applies the modified binary particle swarm(More)
Many of position-based routing protocols assume that a location service is available which provides location information on the nodes in the network. H2SaLAM‌‌ uses a dynamic hierarchy between location servers. SHGRID using one hop chain technique has prevented decreasing of data delivery rate and it has increased the delay experienced by(More)
In this paper, a Fuzzy Adaptive Population-Based Incremental Learning algorithm (FAPBIL) is presented based on analyzing the characteristics of traditional PBIL algorithm. Overcoming disadvantages of traditional PBIL algorithm, the proposed FAPBIL algorithm can adjust learning rate and mutation probability automatically according to the evolution degree of(More)
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