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。
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.
出处
《计算机工程》
CAS
CSCD
2012年第12期66-68,共3页
Computer Engineering
基金
人工智能四川省重点实验室开放基金资助项目(2010RY009)
四川文理学院院级基金资助重点项目(2010A06Z)
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
Wireless Sensor Network（WSN）
geometric random graph
random process
continuous percolation theory
network topology control
irregular communication
