The Adaptive Cluster Head Selection in Wireless Sensor Networks

Nam, Choon-Sung; Jeong, Hee-Jin; Shin, Dong-Ryeol

doi:10.1109/iwsca.2008.14

Cited by 36 publications

(17 citation statements)

References 7 publications

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“…Reema Hasn et al in [10] introduced an efficient routing for power management heuristic to obtain higher lifetime and increased coverage by managing the power at the node level. Node energy is divided into two ratio one for sensor node originated data (X) and other for data relays from other sensors (Y).Simulation result show improvement in lifetime upto 56% in best case which is achieved when X=50% of total energy.…”

Section: Related Workmentioning

confidence: 99%

Probabilistic Density Based Adaptive Clustering scheme to improve network survivability in WSN

Grover

Rani

2014

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

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The popularity of Wireless Sensor Network (WSN) has increased tremendously in recent times. It consists of small nodes with sensing, computation, and wireless communication capabilities. It requires efficient approach that makes judicious use of energy constrained wireless sensor networks, thus Probabilistic Density Based Adaptive Clustering (PDBAC) scheme is proposed to improve the network survivability using LEACH (Low Energy Adaptive Clustering Hierarchy) protocol, which is one of the popular routing protocol for WSNs. MATLAB simulation results show that PDBAC scheme is more energy efficient in terms of dead nodes, throughput and balance energy of nodes. Average efficiency is also greater than Basic LEACH and I-LEACH, thereby extending the network survivability.

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Section: Related Workmentioning

confidence: 99%

Probabilistic Density Based Adaptive Clustering scheme to improve network survivability in WSN

Grover

Rani

2014

Fifth International Conference on Computing, Communications and Networking Technologies (ICCCNT)

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“…Many applications, such as environmental monitoring and military applications use random distributions because the network locations are inaccessible [8,12]. On the other hand, geometric distributions are more adequate for urban applications [13].…”

Section: Lifetime Calcultion and Optimum Number Of Clusters For mentioning

confidence: 99%

WSN lifetime prolongation for deterministic distributions using a hierarchical routing protocol

Ali

Nasr

2013

2013 Africon

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Extending the lifetime of Wireless Sensor Networks is one important design goal when practically deploying them. The paper addresses the problem of choosing the optimum number of clusters in deterministically distributed nodes in a wireless sensor network in order to maximize its lifetime. Hierarchical routing protocol is used on some of the deterministic nodes distributions such as uniform, circular, hexagonal and star distribution, to show how to choose the optimal number of clusters. Compared to non-clustering case and arbitrary clustering, lifetime enhancement is noticed for all the examined distributions. The paper also shows that choosing the right cluster shape is one of the important factors that affect the network lifetime.

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“…However, LEACH has its disadvantages as CHs are chosen randomly and clusters vary in size [11]. Hence, came the newer, better version LEACH-C where a central control algorithm forms clusters such that CH nodes are distributed uniformly over the whole network [7].…”

Section: Previous Workmentioning

confidence: 99%

“…Hence, came the newer, better version LEACH-C where a central control algorithm forms clusters such that CH nodes are distributed uniformly over the whole network [7]. Nevertheless, LEACH-C's strength lies in the fact that energy overhead is equally distributed by positioning CHs in the center of clusters [11].…”

Section: Previous Workmentioning

confidence: 99%

Effect of node distributions on lifetime of Wireless Sensor Networks

Nouh

Abbass

Seoud

et al. 2010

2010 IEEE International Symposium on Industrial Electronics

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Wireless Sensor Networks has recently become an attractive research topic due to the rapidly growing field of applications. This paper focuses on prolonging network lifetime by investigating different node deployments including both geometric and uniform. Geometric distributions resulted in a 35.6% increase in lifetime as opposed to random distributions. Furthermore, different sink locations were examined. The optimum sink location introduced a considerable lifetime elongation compared to the previously used location.

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The Adaptive Cluster Head Selection in Wireless Sensor Networks

Cited by 36 publications

References 7 publications

Probabilistic Density Based Adaptive Clustering scheme to improve network survivability in WSN

Probabilistic Density Based Adaptive Clustering scheme to improve network survivability in WSN

WSN lifetime prolongation for deterministic distributions using a hierarchical routing protocol

Effect of node distributions on lifetime of Wireless Sensor Networks

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