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无线传感器网络中,应用环境的干扰导致节点间距不能被准确度量.所以利用以节点间距作为权重的闭包图(EG)模型构建的拓扑没有考虑环境的干扰,忽略了这部分干扰带来的能耗,缩短了网络生存时间.针对无线传感器网络拓扑能量不均的特点和EG模型的缺陷,首先引入节点度调节因子,建立通信度量模型和节点实际生存时间模型;其次量化网络节点度,从而获取满足能量均衡和网络生命期最大化需求的节点度的取值规律;然后利用该取值规律和函数极值充分条件解析推导出网络最大能量消耗值和最长生存时间,并获得最优节点度;最后基于以上模型提出一种健壮性可调的能量均衡拓扑控制算法.理论证明该拓扑连通且为双向连通.仿真结果说明网络能利用最优节点度达到较高的健壮性,保证信息可靠传输,且算法能有效平衡节点能耗,提高网络健壮性,延长网络生命周期.
In wireless sensor networks, the interference of application environment leads to the node spacing can not be accurately measured.Therefore, the topology constructed by the closed graph (EG) model with node spacing as the weight does not consider the environment interference, ignoring the energy brought by this part of interference Consume and shorten the lifetime of the network.Aim at the characteristics of uneven energy in wireless sensor network topologies and the defects of EG model, we first introduce the node degree adjustment factor, establish the communication metric model and node real life time model, and then quantify the network node degree, Then it can satisfy the requirement of node degree of energy balance and network lifetime maximization. Then the maximum energy consumption value and the longest survival time of the network can be deduced by using the law of the value and the sufficient condition of the extremum of the function, and the optimal node degree Finally, a robust controllable energy balance topology control algorithm is proposed based on the above model. The topology is proved to be bi-directional connectivity by theoretical analysis. The simulation results show that the network can utilize the optimal node degree to achieve higher robustness and ensure the reliable transmission of information , And the algorithm can effectively balance node energy consumption, improve network robustness and extend network life cycle.