Dynamic Multi-Hop Routing Protocol in Wireless Sensor Networks

Li, Xian Li; Zhang, Jia Wei; Liu, Liang Bing

doi:10.4028/www.scientific.net/amm.442.532

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…In homogeneous WSN, the initial energy of all nodes is the same. In this case, reference [26], [40], [41] and so on adopt the random selection method in the first round of cluster head selection, but this method will cause uneven distribution of cluster heads and unreasonable clustering, thus increasing the network energy consumption. In order to solve this problem, the fuzzy C-means clustering (FCM) algorithm is used to cluster the network nodes in the initialization phase, and the node nearest to the cluster center is the cluster head.…”

Section: A the Cgtabc Algorithm Is Used To Select Cluster Heads For mentioning

confidence: 99%

An Energy Efficient Routing Protocol Based on Improved Artificial Bee Colony Algorithm for Wireless Sensor Networks

et al. 2020

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Clustering sensor nodes is an effective method in designing routing algorithms for Wireless Sensor Networks (WSNs), which improves network lifetime and energy efficiency. In clustered WSNs, cluster heads are the key nodes, they need to perform more tasks, so they consume more energy. Therefore, it is an important problem to select the optimal cluster heads. In this paper, we propose a clustering algorithm that selects cluster heads using an improved artificial bee colony (ABC) algorithm. Based on the standard ABC algorithm, an efficient improved ABC algorithm is proposed, and then the network cluster head energy, cluster head density, cluster head location and other similar factors are introduced into the improved ABC algorithm theory to solve the clustering problem in WSNs. In the network initialization period, all nodes have the same energy level, the improved ABC algorithm is used to optimize fuzzy C-means clustering to find the optimal clustering method. We also propose an energy-efficient routing algorithm based on an improved ant colony optimization for routing between the cluster heads and the base station. In order to improve energy efficiency and further improve network throughput, in the stable transmission phase, we introduce a polling control mechanism based on busy/idle nodes into intra-cluster communication. The performance of the proposed protocol is evaluated in several different scenarios. The simulation results show that the proposed protocol has a better performance compared to a number of recent similar protocols. INDEX TERMS WSN, clustering, energy efficiency, network lifetime, high throughput, polling, routing algorithm, artificial bee colony

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Section: A the Cgtabc Algorithm Is Used To Select Cluster Heads For mentioning

confidence: 99%

An Energy Efficient Routing Protocol Based on Improved Artificial Bee Colony Algorithm for Wireless Sensor Networks

et al. 2020

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“…There are also some works for the improved Leach protocols [6][7][8][9], The literature [6] proposed a steady group clustering hierarchy algorism, it firstly divide the network into groups, and then directly change the group into the cluster. But it does not consider the multi-hop between the cluster heads.…”

Section: Introductionmentioning

confidence: 99%

“…But it does not consider the multi-hop between the cluster heads. The literature [7] introduced a kind of adaptive dynamic multiple hops non-uniform clustering algorism.…”

Section: Introductionmentioning

confidence: 99%

A Low Energy Uneven Cluster Protocol Design for Wireless Sensor Network

Liu¹,

Zhong²,

You³

et al. 2012

IJCNS

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A low energy uneven cluster protocol design method is proposed. Aiming at the random choosing for cluster head of traditional Leach protocol, and the defect of the single hop from all the cluster heads to the sink node, an improved method for Leave protocol is advanced. Firstly, the election model of cluster head is improved, and the node residual energy is considered in the process of threshold and the cluster head election to improve the whole network life circle. In the multi-hop route, choosing the maximum energy and the nearest node as the next hop and a route transferring data among many clusters is formed. The experiment shows the method having great improvement compared with Leach protocol and prolonging the network life cycle

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Dynamic Multi-Hop Routing Protocol in Wireless Sensor Networks

Cited by 2 publications

References 16 publications

An Energy Efficient Routing Protocol Based on Improved Artificial Bee Colony Algorithm for Wireless Sensor Networks

An Energy Efficient Routing Protocol Based on Improved Artificial Bee Colony Algorithm for Wireless Sensor Networks

A Low Energy Uneven Cluster Protocol Design for Wireless Sensor Network

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