A New Clustering Mechanism Based on LEACH Protocol

Liu, Yuhua; Zhao, Yanan; Gao, Jingju

doi:10.1109/jcai.2009.81

Cited by 22 publications

(10 citation statements)

References 3 publications

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“…All the nodes considered in the WSN are having equal initial energy and the nodes are assumed that they are having similar functionality. We The first order radio model is considered for the simulation [24]. The first order radio model is classified into free space model and multi path fading model based on the distance between the source and destination.…”

Section: Network Modelmentioning

confidence: 99%

EGEC: An Energy Efficient Exponentially Generated Clustering Mechanism for Reactive Wireless Sensor Networks

Sundareswaran¹,

Rajesh²,

Vardharajulu³

2018

IJWMT

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As most of the wireless sensor networks are unattended by humans, the energy is an important issue while deploying nodes of wireless sensor network in hazardous environments. One of the method to preserve energy consumption among sensor nodes is clustering. Using clustering, the nodes send the data to the nearest cluster head instead of far away sink. In applications using reactive wireless sensor networks, a limited number of sensor nodes are activated due to exceed in threshold values and the other nodes are under idle state. As far as the reactive wireless sensor network is concerned, the number of clusters would have been based on the number of active nodes and alive nodes. In this work, an optimum number of clusters is computed based on the ratio between active nodes and alive nodes. Extensive analysis and comparisons are made with existing protocol and found that the proposed methodology outperforms the existing protocol in terms of networks life time and throughput.

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Section: Network Modelmentioning

confidence: 99%

EGEC: An Energy Efficient Exponentially Generated Clustering Mechanism for Reactive Wireless Sensor Networks

Sundareswaran¹,

Rajesh²,

Vardharajulu³

2018

IJWMT

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“…Step 4: Multi-hop Algorithm: Compute the distance between the elected CHs and BS, sort them into array (A) (ascending order); The clusters are arranged in 3 tiers; tier (t1)= A [1],A [2],A [3]; tier (t2)= A [4],A [5],A [6]; tier(t3)= A [7],A [8],A [9],A [10]; FIND the distance from every element in t2 to every element in t1 and sort them say (distance); Similarly for t3 and t2 1 2 ^2 1 2 ^2 The data is transmitted in HOPS using the minimum distances calculated above; End of round;…”

Section: A Three-tier Multi-hopmentioning

confidence: 99%

Implementation of Multi-hop Technique in Dec Protocol

Mohammad

ChandrasekharaSastry

2018

International Journal of Simulation: Systems, Science &Amp; Technology

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Due to various challenges existing in observing remote places, many researchers are attracted towards Wireless sensor networks. It helps in collecting the data, such as temperature, moisture, and so on. Sensor networks involve effective methods and practices to accomplish the constraints like energy consumption and structured system performance. The network life span is of major concern in wireless networks which can be prolonged significantly by considering the conservation of nodes energy. The research work focuses on DEC (Deterministic Energy-efficient Clustering) protocol i.e. enhancing DEC protocol with multi hop mechanism to utilize energy more effectually. To improve scalability and network lifetime of a sensor network, clustering techniques play an important role. In this paper, a multi hop cluster based routing protocol which is more energy efficient than single hop protocol has been taken in consideration. To achieve the higher degree in the lifetime of the nodes, the residual energy of the nodes for multi hop node choice is taken into attention. The simulation results prove that the protocol offer a better performance characteristics than single hop clustering routing protocols in favour of system lifetime and energy by improving the stability period of the network. To optimize the communication in the network, implementation of multi hop communication proved to be efficient mechanism rather than direct communication in cluster field.

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“…In cluster based data gathering literature, some hybrid approaches are suggested combining clustering with, one or more of the, other architectures and increased energy efficiency is claimed. In M-LEACH [38] that adjusting the nodes, Threshold function, when non cluster-heads choose optimal cluster-head, they consider comprehensive nodes' residual energy and distance to base-station, then compare their performance, the simulation results show that the new strategy of cluster-heads election achieve great advance in sensor and in ACAER [39] which periodically selects cluster nodes according to their coverage rate and residual energy.…”

Section: Clusterhead Selection In Hybrid Clustering (Combined Metric)mentioning

confidence: 99%

A Comparative Study Of Clusterhead Selection Algorithms In Wireless Sensor Networks

Ramesh¹,

Somasundaram²

2011

IJCSES

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A New Clustering Mechanism Based on LEACH Protocol

Cited by 22 publications

References 3 publications

EGEC: An Energy Efficient Exponentially Generated Clustering Mechanism for Reactive Wireless Sensor Networks

EGEC: An Energy Efficient Exponentially Generated Clustering Mechanism for Reactive Wireless Sensor Networks

Implementation of Multi-hop Technique in Dec Protocol

A Comparative Study Of Clusterhead Selection Algorithms In Wireless Sensor Networks

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