Modified Multiple Signal Classification Algorithm for WSNs Localization

Modified Multiple Signal Classification Algorithm for WSNs Localization

연구 분야: Infrastructure

학회: 2020 3rd International Conference on Engineering Technology and its Applications (IICETA)

Wireless sensor networks (WSNs) are a number of sensitive nodes that are deployed in different environments that are wirelessly connected with a control station. That senses a physical phenomenon at the position of their deployment then sends information to the base station to take appropriate operation. (WSNs) are used in many applications such track military targets, discover fires, study natural phenomena such as earthquakes, humidity, heat, etc. The nodes are spread in large areas and it is difficult to locate them manually because they are published randomly by planes or any other method and since the information received from sensitive nodes is useless without knowing their location in this case a problem resulted in the positioning of the nodes. So, it unacceptable to equip each sensor node with (GPS) global position system due to various problems such as cost, size and energy consumption. In this paper explained a non-GPS technique to self-positioning of nodes in (WSNs) by using the modified multiple signal classification (M-MUSIC) algorithm to determine the position of the active sensor through estimated the direction of arrival (DOA) of the node signal. MATLAB program successfully used to simulate the proposed algorithm with higher accuracy reaches to 98% compared with the classic MUSIC algorithm.