6533b7d9fe1ef96bd126ca9c
RESEARCH PRODUCT
Wireless sensor network coverage problem using modified fireworks algorithm
Eva TubaMilan TubaDana Simiansubject
Mathematical optimizationOptimization problemComputer scienceDistributed computingParticle swarm optimization020206 networking & telecommunications02 engineering and technologySwarm intelligenceKey distribution in wireless sensor networksComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringMobile wireless sensor network020201 artificial intelligence & image processingMulti-swarm optimizationMetaheuristicWireless sensor networkdescription
Wireless sensor networks are emerging technology with increasing number of applications, and consequently an active research area. One of the problems pertinent to wireless sensor networks is the coverage problem with number of definitions, depending on the assumed conditions. In this paper we consider hard optimization area coverage problem with the goal of finding optimal sensor nodes positions that maximize probabilistic coverage of the area of interest. For such type of optimization problem swarm intelligence stochastic metaheuristics have been successfully used. In this paper we propose a modified enhanced fireworks algorithm for wireless sensor network coverage problem and compare it with other approaches from literature, where our algorithm proved to be very robust and better, considering all conducted tests.
year | journal | country | edition | language |
---|---|---|---|---|
2016-09-01 | 2016 International Wireless Communications and Mobile Computing Conference (IWCMC) |