In Wireless Sensor Network, the localization of sensor nodes is an important problem in many applications. Normally in localization problem, the unknown position nodes will be determined their location through information of three or more anchors. In first part, some popular heuristic optimization methods like Genetic Algorithm (GA), Particle Swarm Optimization (PSO) will be compared with some recent optimization methods like Grey Wolf Optimizer (GWO), Firefly Algorithm (FA), and Brain Storm Optimization (BSO) algorithms in estimating the location of sensor nodes about accuracy. In second part, the improvement in localization algorithm is also proposed to enhance the number of nodes that can be localized. The results of our proposed improvement will be compared with original algorithm in both number of nodes that can be localized and the execute time with different deployment of networks.
['Chin-Shiuh Shieh', 'Van-Oanh Sai', 'Yuh-Chung Lin', 'Tsair-Fwu Lee', 'Trong-The Nguyen', 'Quang-Duy Le']
Improved Node Localization for WSN Using Heuristic Optimization Approaches