CAJ | 학술논문

针对 WSN 中节点分布不均问题，提出采用区域划分策略基于多波束转换天线的网络拓扑控制算法SRADTC.算法通过关键邻居节点数将网络划分为若干个相互重叠的稀疏区域和稠密区域，稀疏区域按最小生成树算法进行拓扑控制，稠密区域按K邻居拓扑控制算法进行拓扑控制.用有边界的Pareto分布建模节点分布，仿真表明：SRADTC算法在保证网络连通性的同时，相比传统拓扑控制算法提高了网络的性能.
침대 WSN 중절점분포불균문제，제출채용구역화분책략기우다파속전환천선적망락탁복공제산법SRADTC.산법통과관건린거절점수장망락화분위약간개상호중첩적희소구역화주밀구역，희소구역안최소생성수산법진행탁복공제，주밀구역안K린거탁복공제산법진행탁복공제.용유변계적Pareto분포건모절점분포，방진표명：SRADTC산법재보증망락련통성적동시，상비전통탁복공제산법제고료망락적성능.
In order to solve the maldistribution problem for wireless sensor network, topology control algorithm based-on regional assignment with switched-beam directional antennas, SRADTC is proposed. Through the number of the key neighbor nodes, the whole network can be divided into several sparse area and dense area. In sparse area, network topology is controlled by the minimum spanning tree algorithm. In dense area, network topology is controlled by the K-Neigh control topology algorithm. Pareto distribution node model will be built to compare the effectiveness between SRADTC and traditional topology control algorithms. Simulation results show that, under the precondition of ensuring the network connectivity, SRADTC improves the performance of network.