Intelligent Cluster Routing: An Energy Efficient Approach for Routing in Wireless Sensor Networks

Kumar, A. Ranjith; Katiyar, Vijay

doi:10.5120/19312-0769

Cited by 5 publications

(6 citation statements)

References 35 publications

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“…In parallel with this study, an improved LEACH protocol derived from the LEACH algorithm is presented in [14]. In [15], an energy efficient developed algorithm with a mobile sink node is presented, and compared to mod-LEACH and PEGASIS in terms of performance. In [16], the authors proposed a bio-inspired approach cluster model for WSNs, inspired by the chemical interaction of bacteria.…”

Section: Related Workmentioning

confidence: 99%

An Improved SEED Clustering Model for Wireless Sensor Networks

Yalçın

Erdem

2021

Politeknik Dergisi

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Section: Related Workmentioning

confidence: 99%

An Improved SEED Clustering Model for Wireless Sensor Networks

Yalçın

Erdem

2021

Politeknik Dergisi

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“…By reducing the energy consumption in relaying collected data, it is possible to prolong the aliveness of network. Some of the options for energy efficiency are presented in [25][26][27][28][29]. These approaches are based on random CH selection, residual energy, and ratio of residual to network energy or sometimes with average energy of the nodes.…”

Section: Related Workmentioning

confidence: 99%

Multi-Objective Clustering Protocol for Heterogeneous Wireless Sensor Network

purkar¹,

Deshpande²

2021

Preprint

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As we know the capabilities of communication system seems to be extended to greater level with the integration of wireless sensor network (WSN).Seamless control of real time application is been possible. But, an energy constraint of sensor node limits the lifecycle of the activity. Thus, it is necessary to utilize the available energy efficiently to prolong the lifetime of sensory system. Secondly by adding Heterogeneity in WSN and by controlling the communication activity it is possible to extend the lifetime of the network multifold. Thus, it is possible to improve energy efficiency of WSN without constraints of deployments, responsibility and heterogeneity level. So, design perceptive based on multilevel clustering scheme for varied objectives is the better choice for proposed scheme. As clustering scheme reduces internal traffic, efforts of communication and improve the load balancing over the network. Here, we propose Multi-objective (MO)clustering protocol for Heterogeneous WSN to enhance the energy efficiency of deployed network. We hereby found that proposed scheme work better for varied deployment condition and for various performance parameters. Simulation results of proposed design outperform the well-known published protocols by more than 1.97 times.

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“…The paper [6] presents a modified LEACH derived from the LEACH algorithm. In [7], a mobile sink improved energy efficient algorithm is presented and compared with mod-LEACH and PEGASIS [8]. In [9], a new energy efficient (EE) clustering based method is proposed for single pass, heterogeneous WSNs.…”

Section: Related Workmentioning

confidence: 99%

“…At the beginning of each round, the decision as to whether or not the nodes are CH is decided by the threshold value. The threshold value is recommended as in (7). It is important to note that desired probability ( ) is between 0 and 1, which is the fraction remaining in the inverse of the with r. This is why mod is used.…”

Section: Deec Modelmentioning

confidence: 99%

Threshold Balanced Sampled DEEC Model for Heterogeneous Wireless Sensor Networks

Vançin

Erdem

2018

Wireless Communications and Mobile Computing

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Due to the restricted hardware resources of the sensor nodes, modelling and designing energy efficient routing methods to increase the overall network lifetime have become one of the most significant strategies in wireless sensor networks (WSNs). Cluster-based heterogeneous routing protocols, a popular part of routing technology, have proven effective in management of topology, energy consumption, data collection or fusion, reliability, or stability in a distributed sensor network. In this article, an energy efficient three-level heterogeneous clustering method (DEEC) based distributed energy efficient clustering protocol named TBSDEEC (Threshold balanced sampled DEEC) is proposed. Contrary to most other studies, this study considers the effect of the threshold balanced sampled in the energy consumption model. Our model is compared with the DEEC, EDEEC (Enhanced Distributed Energy Efficient Clustering Protocol), and EDDEEC (Enhanced Developed Distributed Energy Efficient Clustering Protocol) using MATLAB as two different scenarios based on quality metrics, including living nodes on the network, network efficiency, energy consumption, number of packets received by base station (BS), and average latency. After, our new method is compared with artificial bee colony optimization (ABCO) algorithm and energy harvesting WSN (EH-WSN) clustering method. Simulation results demonstrate that the proposed model is more efficient than the other protocols and significantly increases the sensor network lifetime.

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Intelligent Cluster Routing: An Energy Efficient Approach for Routing in Wireless Sensor Networks

Cited by 5 publications

References 35 publications

An Improved SEED Clustering Model for Wireless Sensor Networks

An Improved SEED Clustering Model for Wireless Sensor Networks

Multi-Objective Clustering Protocol for Heterogeneous Wireless Sensor Network

Threshold Balanced Sampled DEEC Model for Heterogeneous Wireless Sensor Networks

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