浅水环境中基于熵的能量均衡路由优化算法

An energy balance routing optimization algorithm based on entropy in environment of shallow water

浅水环境具有覆盖面积小、水位低、水底环境较为复杂的特点,当在水下部署传感器节点时,其传输路径容易受到水底障碍物、水中杂物、水浪等影响,给水下传感器的路由选择带来困扰。针对浅水中传感器节点路由选择困难、能量消耗不均、生命周期短的问题,提出一种基于熵的能量均衡路由算法。该算法综合多种节点部署形式,在节点均匀分布和非均匀分布两种条件下分别计算传感器网络通信的能量损耗,权衡考虑节点的剩余能量和位置信息来选择下一跳节点,从而均衡网络能耗。利用NS-2仿真工具对该算法的性能进行仿真分析。结果表明该算法能够实现浅水中的节点通信,有效延长网络生命周期。

The shallow water environment has the characteristics of small size,low water level and complex underwater environment.When the sensor nodes are deployed in the water,their transmission paths are easy to be influenced by underwater obstacles,debris,waves and so on.Aiming at the problems,such as difficult routing choice,unbalanced energy consumption and short life cycle,a kind of energy balance routing algorithm based on entropy is proposed.In this algorithm,the energy loss model of sensor network communication is calculated under two different conditions of uniform distribution and non uniform distribution of the nodes.The performance of the algorithm is simulated with NS?2.The results show that the proposed algorithm can achieve the node communication in shallow water and prolong the network lifetime effectively.