异构传感器网络的一种生存期可延长的可调节拓扑结构

Adjustable lifetime-prolonging structure for topology control in heterogeneous wireless sensor network

目前,大多数的拓扑控制算法采用的能耗模型不符合实际,仅仅只考虑了发送能耗,忽略了不同接收能耗对底层拓扑结构的影响。其次,通过构建最小能耗拓扑子图的拓扑控制算法并不能最大化网络生存期。基于真实的能耗模型主要研究异构传感器网络的拓扑控制问题,提出了一种适用于异构传感器网络生存期可延长的可调节结构(ALPH)来控制网络拓扑。理论和仿真实验表明:通过ALPH构造的拓扑图保持了网络的连通性和双向性;在不同的射频模块下,ALPH以最小能耗保留了任意节点对之间的最大生存期路径;ALPH可以依据不同电路能耗参数PR0进行调整,使得所生成的拓扑图在DRNG与MaxPower之间调节变化,并且允许节点有不同的路径损耗指数;基于网络设备的真实参数值,与先前的拓扑结构DRNG、DGG、EYG和MaxPower相比,ALPH可以有效地延长网络生存期。

The problem of topology control in a network of heterogeneous wireless devices with different maximum transmission ranges was considered. For most topology control structures, the energy model adopted is quite unrealistic, in which the reception energy is commonly neglected. Moreover, most existing approaches to topology control were mainly considered to preserve energy-efficient paths in the resulting topology structures which may not allow network to realize maximum potential lifetime. An adjustable lifetime-prolonging structure for heterogeneous wireless sensor network （ALPH） to control topology was presented. Different from the prior work, based on the more realistic energy model, preserving all the maximal lifetime paths in the resulting topology structures was considered. Properties of ALPI-I by proof or simulation shows： the topologies derived under ALPH preserve the network connectivity and bi-directionality; it preserves all maximal lifetime paths between any pair of nodes under different RF modules; it enables each node to adjust the topology independently between DRNG and the MaxPower graph via parameter PRo and allows nodes to have different path loss exponents; compared with previous work of DRNG, DGG, EYG and the MaxPower graph based on the real device＇s parameters, it can effectively prolong network lifetime.