A Mobile-Sink Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks

Wang, Jin; Yin, Yixing; Kim, Jeong-Uk; Lee, Sungyoung; Lai, Chin‐Feng

doi:10.1109/cit.2012.142

Cited by 39 publications

(39 citation statements)

References 16 publications

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“…In other works [14,17,18,25], considerable amount of energy is consumed by cluster heads. According to the energy model (1), CH (Cluster Head) consumes E CH amount of energy in one round.…”

Section: Energy Efficiencymentioning

confidence: 99%

“…Wang et al [16] have studied mobile sink at the edge of the sensing field. The movement of the mobile sink is on clockwise or counter-clockwise.…”

Section: Related Workmentioning

confidence: 99%

“…Data gathering tour is the perimeter of the sensing area and this affects long data latency. Wang et al [17] proposes competitive clustering algorithm and uses a controllable mobile sink to gather data. The path of the mobile sink is built as straight line stopping points on it.…”

Section: Related Workmentioning

confidence: 99%

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An Optimal Data Gathering Method for Mobile Sinks in WSNs

Djuraev

Ahn

2017

Wireless Pers Commun

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In Wireless Sensor Networks (WSN), energy is one of the most important resources since each node collects, processes and transmits data to its base station. Most of the traditional works in WSNs are consisted of static nodes and one base station. Recently, some mobile data gathering methods are proposed to prolong the operation time of sensor networks. One or more mobile collectors are used to gather sensed data from sensor nodes at short transmission ranges. This paper presents to find optimal visiting points and data gathering path for a mobile sink within clusters. With defining an optimal clustering and data gathering path, this method improves the data collection performance as well as the network lifetime extension of sensor networks. The network lifetime is increased to 20% when sensor nodes are divided into from 4 clusters to 15 clusters.

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“…In other works [14,17,18,25], considerable amount of energy is consumed by cluster heads. According to the energy model (1), CH (Cluster Head) consumes E CH amount of energy in one round.…”

Section: Energy Efficiencymentioning

confidence: 99%

“…Wang et al [16] have studied mobile sink at the edge of the sensing field. The movement of the mobile sink is on clockwise or counter-clockwise.…”

Section: Related Workmentioning

confidence: 99%

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An Optimal Data Gathering Method for Mobile Sinks in WSNs

Djuraev

Ahn

2017

Wireless Pers Commun

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“…An energy-efficient competitive clustering algorithm [11] has been proposed for wireless sensor networks using a controlled mobile sink. Sensor nodes has effectively organize by clustering algorithm and controlled mobile sink lead to lessen the problem of energy holes and hot spot problem.NP-hard problem has used to select the optimal moving trajectory for sink nodes.…”

Section: Related Workmentioning

confidence: 99%

Improving the Network Lifetime for WSNs using Multiple Data Collectors

Kaur¹,

Singh²

2015

IJCA

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Energy is the main component of sensor nodes. IEESSC used sink mobility to increase the network lifetime. IEESSC also leads to uneven cluster. EEEGBC proposed algorithm uses grid based method to make same size clusters and it also used the concept of multiple sink to increase the network lifetime. It removes the idea of re-clustering and energy is saved that use for re-clustering. The simulation analysis are done based on three parameters: Network Lifetime, Stability Period and Middle Node Death.

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“…An energy model designed in the physical layer is used for calculating energy loss in each sensor node while communicating with other nodes [52]. The two channel-propagation models used are the free space model (d …”

Section: Energy Modelmentioning

confidence: 99%

An intelligent PSO-based energy efficient load balancing multipath technique in wireless sensor networks

Randhawa¹,

Jain²

2017

Turk J Elec Eng & Comp Sci

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Abstract:To provide a reliable and efficient service, load balancing plays an important role in wireless sensor networks (WSNs). There is a need to maximize the network lifetime for WSNs applications with periodic generation of data. Due to the relationship between energy consumption and network sensor node lifetime, energy consumption in a network should be minimized and balanced in order to increase network lifetime. Energy-efficient load-balancing techniques are needed to solve this problem. In this paper, a particle swarm optimization (PSO)-based energy-efficient load-balancing technique is proposed, in which the required number of routing paths and energy consumption of different nodes and paths are calculated. Based on maximum residual energy, paths are selected and further PSO-based load balancing is performed among all the paths for data transfer at a particular point of time. The performance of the proposed technique is evaluated using real testbed and experimental results and shows that the proposed technique performs better than existing techniques in terms of network lifetime, energy consumption, throughput, number of alive nodes, number of data packets received, execution time, and convergence rate.

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A Mobile-Sink Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks

Cited by 39 publications

References 16 publications

An Optimal Data Gathering Method for Mobile Sinks in WSNs

An Optimal Data Gathering Method for Mobile Sinks in WSNs

Improving the Network Lifetime for WSNs using Multiple Data Collectors

An intelligent PSO-based energy efficient load balancing multipath technique in wireless sensor networks

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