摘要: 在连续渗流理论基础上提出一种新的非规则通信模型,减小邻居节点的半径,实现网络稀疏性,通过随机加长某些拓扑边提高网络连通性,解决两者之间的矛盾。仿真实验结果表明,该通信模型在稀疏性和连通性方面均优于UDG通信模型,减少节点能耗,延长网络的生命周期。
关键词:
无线传感器网络,
几何随机图,
随机过程,
连续渗流理论,
网络拓扑控制,
非规则通信
Abstract: This paper presents a new communication model——Irregular Communication Model(IRRE) based on continuous percolation theory. The model maintains the lower neighbour node number at a shorter radius to ensure network sparseness, and prolongs some topology sides so as to enhance network connectivity, which can satisfy network topology connectivity and sparseness requirements. The contradiction of network topology connectivity and sparseness is solved satisfactorily. Simulation results show that connectivity and sparseness of IRRE are better than that of UDG.
Key words:
Wireless Sensor Network(WSN),
geometric random graph,
random process,
continuous percolation theory,
network topology control,
irregular communication
中图分类号:
涂朴, 赵全军. 基于连续渗流的WSN非规则通信模型[J]. 计算机工程, 2012, 38(12): 66-68.
CHU Piao, DIAO Quan-Jun. Irregular Communication Model in WSN Based on Continuous Percolation Flow[J]. Computer Engineering, 2012, 38(12): 66-68.