Increasing WSN lifetime by using learning automata for optimal route selection

Hajian, Elham; Jamshidi, Kamal; Bohlooli, Ali

doi:10.1109/icina.2010.5636403

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Typically, sensors in such a network are equipped with sensing, data processing and radio transmission units while the power is highly limited [6]. Due to the limited energy, it is necessary to do some researches on improving the energy efficiency to prolong the network lifetime [8].…”

Section: Introductionmentioning

confidence: 99%

WRECS: an Improved Cluster Heads Selection Algorithm for WSNs

Xi-rong

Xie

Nan

et al. 2014

JSW

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This article focused on the energy limit property of Wireless Sensor Network, and proposed a residual energy based algorithm WRECS, which is improved on classical routing algorithm LEACH. The algorithm took the normalized residual energy and the cumulative number of the normal nodes supported by the cluster heads as clusterheads selection parameters. In order to balance the energy consumption of each cluster-head, the algorithm took both the different positions of the base station and the initial energy of the network into consideration, and weighted the two factors to balance the energy consumption between transmission and data fusion. Simulation results show that the algorithm can promote the lifetime of the uneven energy network and does not impair the effects of the LEACH algorithm.

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Section: Introductionmentioning

confidence: 99%

WRECS: an Improved Cluster Heads Selection Algorithm for WSNs

Xi-rong

Xie

Nan

et al. 2014

JSW

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“…Typically, sensors in such a network are equipped with sensing, data processing and radio transmission units while the power is highly limited [3]. Due to the limited energy, it is necessary to do some researches on improving the energy efficiency to prolong the network lifetime [4].…”

Section: Introductionmentioning

confidence: 99%

WN-LEACH: A Weighted Residual Energy Based Cluster-Heads Selection Algorithm for Wireless Sensor Network

Bao

Xie

2013

AMR

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This article focused on the energy limit property of Wireless Sensor Network, and proposed a residual energy based algorithm WN-LEACH, with the classic network mode of LEACH routing algorithm. The algorithm combines the proportion of residual energy in the total energy with the cumulative number of the normal nodes supported by the cluster heads as a cluster selection reference. In order to balance the energy consumption of each cluster-head, the algorithm took both the different positions of the base station and the initial energy of the network into consideration, and weighted the two factors to balance the energy consumption between transmitting the signals and data fusion. Simulation results show that the algorithm can promote the lifetime of the uneven energy network and does not impair the effects of the LEACH algorithm.

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“…In this, the guideline of TB-LEACH is given with the flowchart and pseudo codes acknowledging TB-LEACH. Re-enactment comes about demonstrate that our calculation beats unique LEACH by around 20% to 30% as far as framework lifetime JinsukBaek et al, [46] proposed a new mechanism for selection of cluster head andformation scheme for a cluster. In this scheme, every sensor node calculates its relative energy consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

A Review on Energy Efficiency Protocols in WSNs

Saini¹,

Aaseri²

2017

IJARCSSE

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A wireless sensor network (WSN) is developing over miscellaneous areas to give new opportunities for the services as well as occasions for the networks. The advancement of micro electro-mechanical systems has made sensor networks a very fascinating area for research. The primary issue in sensor networks is energy optimization. Energyoptimization means how wisely we use energy. Energy efficiency programs are plotted tolower the use energy of members participating. Numerous approaches and algorithms havebeen proposed toeradicate the issue of energy optimisationThis paper explores the competing issues of energy consumptionefficiency in wireless sensor network..In this paper, we review the key coverageoptimization protocols and present open research issues related to energy efficient coverage.Keywords-WSN, PEGASIS, Clustering, BS, CH, LEACH. I. INTRODUCTION 1.1 Wireless Sensor NetworksWireless Sensor Networks composed of numerous tiny electronic devices called nodes which gather the data from their environment nearby and then send the collected data to base station where further analysis and forecasting can be done. The analysed data is used to take managerial resolutions or business decisions. In multiple issues and numerous scenarios the sensor networks have become tool for data analysis. This has given the capability of remotely monitoring of a physical surrounding for a wide and distinct scenarios and different problem context. These tiny nodes are selfregulating which provide ability of distributed computing in the network. With distributing computing the network can be made flexible or ductile to adopt several methods for deployment, security enforcement, and routing and data dissemination.Energy efficiency is an important aspect in WSN as nodes have a finite battery power. The various types of limitations make WSN and different protocols challenging and divergent. WSN has emerged as a completely different technology as compared to standard traditional internet architecture. WSN nodes are very tiny and occupy lower space and weight as compared to traditional networked devices. WSN easily scales to the order of thousands of nodes and requires minimal help from outside to build the network. The latest advancements in wireless have made the smaller and less expensive products which enhance communication speed significantly.All nodes in WSNs have a battery with fixed power which makes energy conservation as basic need while creating architecture of WSN [30]. The objectives in the creation of WSNs have the capability of huge rate of data exchange among nodes in the network and base station and ability of minimizing the energy consumption. We need efficient routing protocols in WSNs to achieve these objectives. Therefore, several routing algorithms have been proposed [23].Cluster Based routing protocols composed of two layer architecture. One layer is responsible for section of cluster head and the other handles routing. A cluster head (CH) is one which is performs collection of data from rest nodes, gathering or pr...

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Increasing WSN lifetime by using learning automata for optimal route selection

Cited by 6 publications

References 14 publications

WRECS: an Improved Cluster Heads Selection Algorithm for WSNs

WRECS: an Improved Cluster Heads Selection Algorithm for WSNs

WN-LEACH: A Weighted Residual Energy Based Cluster-Heads Selection Algorithm for Wireless Sensor Network

A Review on Energy Efficiency Protocols in WSNs

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