基于双中心机制的移动传感网能量优化算法

The Energy Optimization Algorithm for Mobile Sensor Networks Based On Dual Center Mechanism

针对移动传感网部署过程中存在能耗适应性较差等问题,本文为降低移动传感网网络能耗并提高节点生存质量,提出了一种基于双中心机制的移动传感网能量优化算法。首先,采取非均衡分割机制,对流量强度较高的区域进行多次分割,降低流量过载导致的传输不均衡,以消除传输热点,进而提升区域传输均衡质量。随后,为适应移动节点环境,将具有较强均衡特性的节点设置为新簇头节点,设计了基于并发机制的双中心簇头设置方法,双中心簇头同时承担簇区域内数据传输及汇聚,动态调整簇内节点并发请求服务,从而降低簇内频繁发起传输请求所导致的能量消耗,有效优化网络传输能耗。仿真实验表明,与当前的网络能量优化技术相比,所提算法具有更低的网络平均能耗更低的节点失效率,能够在部署过程中显著提升网络经济价值,具有适应性较强的特点。

In order to reduce the energy consumption of the mobile sensor network and improve the quality of life of the nodes,a dual-center mechanism based energy optimization algorithm for the mobile sensor network is proposed.First of all,the unbalanced division mechanism is adopted to divide the regions with high traffic intensity for many times to reduce the transmission imbalance caused by traffic overload,so as to eliminate transmission hotspots and improve the quality of regional transmission balance.Then,in order to adapt to the mobile node environment,the node with strong balance characteristics is set as the new cluster head node,and a dual-center cluster head setting method based on the concurrency mechanism is designed.The dual-center cluster head simultaneously undertakes the data transmission and aggregation in the cluster area,dynamically adjusts the concurrent request service of the nodes in the cluster,thus reducing the energy consumption caused by frequent transmission requests in the cluster,and effectively optimizes the network transmission energy consumption.The simulation results show that compared with the current network energy optimization technology,the proposed algorithm has lower network average energy consumption and lower node failure rate,can significantly improve the economic value of the network in the deployment process,and has strong adaptability.