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Location-based services in wireless sensor networks demand precise information of locations of sensor nodes. Range-based localization, a problem formulated as a two-dimensional optimization problem, has been addressed in this paper as a multistage exercise using bio-inspired metaheuristics. A modified version of the shuffled frog leaping algorithm (MSFLA) has been developed for accurate sensor localization...
Multidimensional optimization is critically important in engineering, economics and other disciplines. There are several deterministic approaches to optimization, each of which has its own pros and cons. Swarm intelligence-based optimization algorithms have been gained popularity for their effectiveness and resource efficiency. Two such popular algorithms, namely artificial bee colony (ABC) and particle...
Accurate localization of randomly deployed sensor nodes is critically important in wireless sensor networks (WSNs) deployed for monitoring and tracking applications. The localization challenge has been posed as a multidimensional global optimization problem in earlier literature. Many swarm intelligence algorithms have been proposed for accurate localization. The untapped vast potential of the artificial...
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