The sensor node positioning is the important technology in Wireless Sensor Network. DV-Hop algorithm has the accumulative errors during the sensor positioning procedure. In order to increase the DV-Hop positioning pre...
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ISBN:
(纸本)9781479925650
The sensor node positioning is the important technology in Wireless Sensor Network. DV-Hop algorithm has the accumulative errors during the sensor positioning procedure. In order to increase the DV-Hop positioning precisions, this paper first corrects the distance of the average hop in DV-Hop algorithm, then introduces cuckoo searching algorithm to optimize the sensor node positioning errors, and finally applies simulation experiment to test the performance. The simulation experiment illustrates the proposed algorithm needs extra hardware support in order to increase the Sensor positioning precisions compared to DV-Hop algorithm. Even with fewer anchor nodes, the proposed algorithm can obtain ideal positioning results with high practical value.
Over the last decade, several metaheuristic algorithms have emerged to solve numerical function optimization problems. Since the performance of these algorithms presents a suboptimal behavior, a large number of studie...
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Over the last decade, several metaheuristic algorithms have emerged to solve numerical function optimization problems. Since the performance of these algorithms presents a suboptimal behavior, a large number of studies have been carried out to find new and better algorithms. Therefore, this paper proposes a new metaheuristic algorithm, namely the car tracking optimization algorithm;it is inspired by observing the programming methods of other metaheuristic algorithms. And the proposed algorithm has been tested over 55 benchmark functions, and the results have been compared with firefly algorithm (FA), cuckoo searching algorithm (CS), and vortex search algorithm (VS). The results indicate that the performance of the proposed algorithm surpasses FA, CS, and VS algorithm.
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