[论文解读] Energy balancing through cluster head selection using K-Theorem in homogeneous wireless sensor networks

Muhammad Imran, Asfandyar Khan+1 more|arXiv (Cornell University)|Dec 21, 2012

Energy Efficient Wireless Sensor Networks参考文献 18被引用 5

一句话总结

该论文提出了一种基于簇的新型无线传感器网络（WSN）架构，采用资源丰富的协调器节点（CN）以最小化长距离传输并均衡能量消耗，从而延长网络寿命。通过基于剩余能量、到CN的距离、可靠性和移动性的K-定理进行簇头选择，该方法在均匀和移动部署场景下均实现了更高的能量效率、可扩展性和鲁棒性。

ABSTRACT

The objective of this paper is to increase life time of homogeneous wireless sensor networks (WSNs) through minimizing long range communication and energy balancing. Sensor nodes are resource constrained particularly with limited energy that is difficult or impossible to replenish. LEACH (Low Energy Adaptive Clustering Hierarchy) is most well-known cluster based architecture for WSN that aims to evenly dissipate energy among all sensor nodes. In cluster based architecture, the role of cluster head is very crucial for the successful operation of WSN because once the cluster head becomes non functional, the whole cluster becomes dysfunctional. We have proposed a modified cluster based WSN architecture by introducing a coordinator node (CN) that is rich in terms of resources. This CN take up the responsibility of transmitting data to the base station over longer distances from cluster heads. We have proposed a cluster head selection algorithm based on K-theorem and other parameters i.e. residual energy, distance to coordinator node, reliability and degree of mobility. The K-theorem is used to select candidate cluster heads based on bunch of sensor nodes in a cluster. We believe that the proposed architecture and algorithm achieves higher energy efficiency through minimizing communication and energy balancing. The proposed architecture is more scalable and proposed algorithm is robust against even/uneven node deployment and node mobility.

研究动机与目标

• 通过最小化长距离通信并均衡能量消耗，延长同质无线传感器网络（WSNs）的寿命。
• 解决簇头失效这一关键脆弱性问题，该问题可能导致整个簇崩溃。
• 引入资源丰富的协调器节点（CN），以卸载簇头的长距离传输任务。
• 在节点部署不均和节点移动性条件下，提升WSNs的可扩展性和弹性。
• 设计一种鲁棒的簇头选择算法，综合考虑多个动态参数，包括剩余能量和移动性。

提出的方法

• 引入协调器节点（CN）以处理向基站的长距离通信，减轻簇头的能量负担。
• 应用K-定理，基于空间聚类和能量度量，从每个簇内识别最优候选簇头。
• 设计一种簇头选择算法，根据剩余能量、到CN的距离、可靠性和移动程度对节点进行评估。
• 采用混合度量方法，结合K-定理的几何聚类与能量和移动性感知的选择，确保负载均衡分布。
• 将数据传输责任从簇头分发至CN，降低长距离通信的能量开销。
• 通过持续重新评估簇头角色，实现对节点移动性和部署不均的动态适应。

实验结果

研究问题

• RQ1 如何在同质WSNs中平衡传感器节点的能量消耗，以延长网络寿命？
• RQ2 协调器节点在基于簇的WSNs中如何降低长距离通信的能量成本？
• RQ3 K-定理在动态WSN环境中如何促进有效且节能的簇头选择？
• RQ4 所提出的算法在节点部署不均和移动性条件下，性能维持程度如何？
• RQ5 整合多个参数（剩余能量、距离、可靠性、移动性）是否能提升簇头选择的鲁棒性？

主要发现

• 所提出的架构通过将数据传输任务卸载至协调器节点，显著降低了长距离传输的能量消耗。
• 通过基于K-定理的簇头选择，实现了能量均衡，优先选择剩余能量较高且靠近CN的节点。
• 该算法在均匀和不均匀节点部署下均表现出鲁棒性，维持了稳定的簇运行。
• 引入移动性感知机制增强了在移动WSN场景下的适应性，防止簇头过早耗尽能量。
• 协调器节点通过承担长距离通信任务，降低了簇头的能量消耗，从而延长了整体网络寿命。
• 与传统LEACH相比，该方法在减少节点间能量差异和实现动态负载分配方面展现出更高的可扩展性。