Abstract
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.
Highlights
In the past years, wireless sensor networks (WSNs) have gained more and more attention because of the development of the micro-electro-mechanism system (MEMS),[1] wireless communication techniques, and so on
WSNs are deployed in harsh environment which makes it difficult to recharge the battery of the sensor nodes
The intra and intercluster routing are calculated in the control module that reduces calculation and energy overhead in sensor nodes
Summary
Wireless sensor networks (WSNs) have gained more and more attention because of the development of the micro-electro-mechanism system (MEMS),[1] wireless communication techniques, and so on. The WSNs need to balance the energy by rotating the CHs among sensor nodes It usually re-clustering in each round makes it consume more time, energy, and calculation resources.[11] it should both consider the network lifetime and energy consumption balance. According to issue 1, a novel SDN framework is used in this algorithm to reduce the energy consumption of transmitting redundant messages in the cluster setup phase This method reduces the computation overhead and the routing overhead in the sensor nodes which prolongs the network lifetime. The BS acts as controller which uses fuzzy-based multi-hop unequal cluster routing and residual energy-based rotating scheme to calculate the routing of the entire network. Simulation results and analysis are expounded in section ‘‘simulation results.’’ We will conclude the article in section ‘‘Conclusion.’’
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