A Wireless Sensor Network Clustering Algorithm Based on Energy and Distance

Hou, Rui; Ren, Weizheng; Zhang, Yaodong

doi:10.1109/wcse.2009.705

Cited by 27 publications

(11 citation statements)

References 3 publications

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“…They discussed the factors that contribute to the partition of clusters, including residual energy and the distance to the cluster's centroid. Hou et al [10] proposed an improved LEACH Protocol in the aspect of selection of the CHs and energy consumption balance. Wu et al [11] introduced a dynamic sleep scheduling mode rather than the fixed sleep/wake-up mode in LEACH, which can improve the network lifetime remarkably.…”

Section: Related Workmentioning

confidence: 99%

An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks

Wan

Xiong

Lộc

2018

Hum. Cent. Comput. Inf. Sci.

112

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In wireless sensor networks, the high density of node’s distribution will result in transmission collision and energy dissipation of redundant data. To resolve the above problems, an energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks (ESSM) is proposed, which will schedule the sensors into the active or sleep mode to reduce energy consumption effectively. Firstly, the optimal competition radius is estimated to organize the all sensor nodes into several clusters to balance energy consumption. Secondly, according to the data collected by member nodes, a fuzzy matrix can be obtained to measure the similarity degree, and the correlation function based on fuzzy theory can be defined to divide the sensor nodes into different categories. Next, the redundant nodes will be selected to put into sleep state in the next round under the premise of ensuring the data integrity of the whole network. Simulations and results show that our method can achieve better performances both in proper distribution of clusters and improving the energy efficiency of the networks with prerequisite of guaranteeing the data accuracy.

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Section: Related Workmentioning

confidence: 99%

An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks

Wan

Xiong

Lộc

2018

Hum. Cent. Comput. Inf. Sci.

112

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“…Rui et al [25] suggested Energy & Distance LEACH (EDL) in which remaining energy and distance of SNs are the key parameters. The chances of becoming CH are more for SN with more remaining energy and less distance in network.…”

Section: Two Levels Ch Selectionmentioning

confidence: 99%

“…Detailed study of above mentioned threshold can be found in [25]. For data transmission, single hop communication is used for intercluster or intracluster communication.…”

Section: Two Levels Ch Selectionmentioning

confidence: 99%

A systematic review on heterogeneous routing protocols for wireless sensor network

Tanwar¹,

Kumar

Rodrigues

2015

Journal of Network and Computer Applications

125

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“…In addition, Hou, R. et al [8] proposed T-LEACH which considered the remnant power of sensor nodes in order to balance network loads and changes the round time by introducing a new probability (P head ), the optimum number of clusters over all nodes instead of that used in the traditional LEACH. This probability took the distance between CHs and BS into account including the area coverage (M is the length of node distributing field) and the number of existing nodes as follows:…”

Section: Related Work In Leach Cluster Head Selection Techniquesmentioning

confidence: 99%

MAP: An Optimized Energy-Efficient Cluster Header Selection Technique for Wireless Sensor Networks

Udompongsuk

So-In

Phaudphut

et al. 2014

Lecture Notes in Electrical Engineering

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Abstract. Recent advances in wireless sensor networks have led to feasibility in implementing a variety of reliable and distributed monitoring and controlling systems used in several areas including environment, healthcare, civil, and military applications. The introduction to novel protocols and their improvements, especially for energy consumption awareness, were due to the major limitations of power-aware tiny sensor nodes. To utilize an overall energy consumption prolonging system lifetime, clustering is one of the promising approaches. By grouping sensors together, the sensor communicates only to its cluster head before gathered, and then forwarded to a base station. In this paper, we evaluate this issue, and then propose an optimization over a well-known hierarchical routing protocol, LEACH, by considering Moving energy window Average and selection Probability (MAP), resulting in an overall energy usage enhancement.

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A Wireless Sensor Network Clustering Algorithm Based on Energy and Distance

Cited by 27 publications

References 3 publications

An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks

An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks

A systematic review on heterogeneous routing protocols for wireless sensor network

MAP: An Optimized Energy-Efficient Cluster Header Selection Technique for Wireless Sensor Networks

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