An geographical adaptive routing algorithm based on overlapping area for uranium tailings radionuclide contamination monitoring in WSN
Xiuwu Yu, Feng Zhang, Fan Feisheng, Lixing Zhou · 2016
WSN can be applied to observe uranium tailings radionuclide contamination. Due to its energy constraint, a nice good clustering algorithm must use the network energy efficiently. For the lack of LEACH and GAF, an geographical adaptive routing algorithm based on overlapping area(GAOA)is proposed. The monitoring area is divided into a grid of circle according to location information of sensor node and intersecting circle structure. With residual energy and distance to the center within circle, the nodes will be selected as cluster heads. Then cluster heads choose the optimal next hop to transmit data to base station. As is shown in the experiment, the algorithm can save energy efficiently and prolong the network lifetime.