Recently, wireless sensor networks play an important role in our life. Researchers give more and more attention to the design of the routing algorithm. Cluster routing is the most popular routing protocol in wireless sensor networks. However, hotspot problem always exists. Unequal cluster routing is an effective method to solve this problem. In these protocols, nodes closer to base station have the smaller cluster size than other sensor nodes. It will reduce the relay pressure of the node which is near to the base station. The development of the software-defined network optimizes the performance of wireless sensor networks. In this article, we propose a software-defined and fuzzy-based multi-hop unequal cluster routing protocol. It adopts three methods to make the routing protocol outstanding. First, it uses a novel software-defined network architecture to reduce computation overhead and energy overhead in sensor nodes. Then, the fuzzy logic–based intracluster and intercluster routing is designed to balance energy consumption. Finally, residual energy–based rotating scheme is proposed to reduce most of the control overhead. According to the simulation results, the proposed protocol balances and reduces the energy consumption, extends the lifetime, and reduces the control overhead and latency of the network.

中文翻译：

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SDFMUCR：软件定义和基于模糊的多跳不等簇路由

最近，无线传感器网络在我们的生活中扮演着重要的角色。研究人员越来越关注路由算法的设计。集群路由是无线传感器网络中最流行的路由协议。然而，热点问题始终存在。不等簇路由是解决这一问题的有效方法。在这些协议中，靠近基站的节点比其他传感器节点具有更小的簇大小。它将降低靠近基站的节点的中继压力。软件定义网络的发展优化了无线传感器网络的性能。在本文中，我们提出了一种软件定义和基于模糊的多跳不等簇路由协议。它采用三种方法使路由协议脱颖而出。第一的，它使用一种新颖的软件定义网络架构来减少传感器节点的计算开销和能量开销。然后，基于模糊逻辑的集群内和集群间路由被设计来平衡能源消耗。最后，提出了基于剩余能量的旋转方案来减少大部分控制开销。根据仿真结果，所提出的协议平衡并降低了能耗，延长了生命周期，降低了网络的控制开销和延迟。