Abstract

The energy efficiency and stability of wireless sensor networks (WSNs) have always been a hot issue in the research. Clustering is a typical architecture for WSNs, and cluster heads (CHs) play a vital role. Unreasonable CH selection causes a lot of energy consumption. In this paper, we propose a competition-based unequal clustering multihop approach (CUCMA). CHs are selected by competition. First, the cluster radius (CR) of a node is calculated according to the distance to base station (BS). Then, CR is resized based on the number of around nodes. Only the nodes with high residual energy and appropriate distances to the selected CHs maybe become CHs, which are usually closer to the surrounding nodes. CUCMA and four related approaches are simulated in different scenarios. The results are analyzed, and it is proved that CUCMA balances the energy consumption of the CHs and reduces the energy consumption of the whole networks, thus leading to prolong the lifetime of WSNs.

Highlights

  • A wireless sensor networks (WSNs) is composed of a large number of sensor nodes with sensing, computing, and communication capabilities

  • Reducing energy consumption to delay node death is one of the challenges of WSNs, and many approaches are designed to get the best performance with limited energy [2]. e relevant energyefficient strategies are classified into five categories, the Energy-Efficient Media Access Control (EEMAC) protocol, the Mobile Node Assistance Scheme (MNAS), the EnergyEfficient Clustering Scheme (EECS), the Energy-Efficient Routing Scheme (EERS), and the Compress Sensing-Based Scheme (CSS), respectively [3]

  • We assume that a WSN covers a square region with a side length of M. e remaining attributes are as follows: (a) All nodes are randomly distributed and fixed (b) e intracluster data are sent by single-hop and the intercluster data are sent by multihop (c) A node knows its residual energy but does not know where it is (d) Every node has a different identity and can be a cluster heads (CHs) (e) ere is only one base station (BS) in the WSN and the BS is fixed e transmission power can be adaptive based on the distance to receiver

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Summary

Introduction

A WSN is composed of a large number of sensor nodes with sensing, computing, and communication capabilities. Others choose Energy Efficient Quad Clustering to improve the performance of wireless sensor network in terms of network lifetime [9]. These methods are complex, and the selection time of CH is long. (1) We create the network and energy consumption model to adapt to the application of the CUCMA algorithm (2) We propose a novel balanced-load clustering heads selection algorithm with smaller energy consumption in the network lifetime (3) In different scenarios, we compare the energy consumption and network lifetime of the new algorithm with the previous algorithms by simulations e rest of the paper is arranged as follows.

Related Works
Network and Energy Consumption Model
The Approach
Simulation Results and Analysis
Conclusion and Future Works
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