Performance improvement of randomly deployed fixed wireless sensor networks in target detecting and tracking


Abstract in English

The tracking using wireless sensor networks is one of the applications that are experiencing significant growth. Due to considerations of wireless sensor networks in terms of limited energy source, researches continue to improve methods of routing and transforming information to ensure lower power. Therefore, we have in this research improved the routing of target location information within WSN by providing a new algorithm, which takes advantage of the concept of clustering for wireless network sensors, with the addition of the possibility of interaction between field sensors that belong to different clusters, where in other cases, they cannot interact with each other in the traditional case of cluster networks. to get rid of repeating the same information transfer, we depend on the parameter intensity of the received signal from the target in the sensors, which will reflect positively on the network age, and give a more accurate indication of the target site. We have implemented the proposed algorithm and showed the results of using the simulator OPNET which is one of the best simulators in the field of various types of networks.

References used

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