A Framework for Load Sharing in Clustered Ad Hoc Networks

Agarwal, Ratish; Motwani, Mahesh; Gupta, Rohit

doi:10.5120/13512-1284

Cited by 4 publications

(3 citation statements)

References 22 publications

(19 reference statements)

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“…A Mobile Adhoc Network (MANET) is a decentralized network that consists of self-contained mobile nodes connected by wireless links [1]. The functions of MANET can be performed without the need for any fixed infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

Gupta¹,

Uit-Rgpv²,

Motwani³

et al. 2021

IJETAE

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— In an Adhoc Network, every node is mobile and self-contained. As these networks lack infrastructure, highly adaptive algorithms are required to deal with frequent mobility changes by member nodes as well as Cluster Head (CH) nodes. The weighted clustering algorithms contribute significantly to cluster-based routing. In these algorithms, the selection of cluster heads is the most important task. In weighted clustering methods, the selected CH did their best to serve the network. However, the CH may become overloaded due to the arrival of nodes greater than their desired threshold value. In this case, the CH can become a bottleneck as it is unable to cope with rapidly increasing loads which ultimately degrade the network performance. In this paper, we address three network issues (i) Member Node movement (ii) Cluster head Node movement, and (iii) Overload at the Cluster head node caused due to mobility of nodes. Our proposed method Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service (CFMIQS) include various adaptive algorithms to provide solutions to deal with these network issues and improve network Quality of Service (QoS). The Simulated Results are compared with the K-means AODV algorithm, the results showed better Packet Delivery Fraction (PDF) and Throughput values. Keywords— Cluster partition, MANET, Primary Cluster head, QoS, Secondary Cluster head

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Section: Introductionmentioning

confidence: 99%

Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

Gupta¹,

Uit-Rgpv²,

Motwani³

et al. 2021

IJETAE

Self Cite

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“…Zone-based technology is geographically a virtual organization of networks in close groups of nodes. Several zone techniques have been proposed in the mobile ad hoc network in literature [13][14][15][16][17][18]. The main problem of these techniques is the energy consumption in their zone-based structure even as changing the network structure.…”

Section: Introductionmentioning

confidence: 99%

Energy Consumption Evaluation of ZBLE, AOMDV and AODV Routing Protocols in Mobile Ad-hoc Networks

Sahu¹,

Sharma²,

Rizvi³

2019

AWCN

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Background / Objective: Mobile ad hoc network (MANET) creates a transient network that does not depend on any infrastructure or central administration mechanism. Such networks are made up of wireless mobile nodes. These nodes have to rely on batteries due to lack of stable power supply, so energy consumption is considered one of the main difficulties of this type of network. These nodes change their positions immediately, so the battery is depleted very suddenly, which affects network life. The best routing can be achieved by improving network quality, keeping high energy in mind by multipath routing in ad hoc networks using zone-based technology. The main objective of this research is to evaluate some popular performance metrics with energy efficiency. In this research, the zone-based leader Election Energy-Constructed AOMDV Routing Protocol (ZBLE) has been compared to the traditional routing protocols AODV and AOMDV, suggesting that the ZBLE protocol exhibits better results. Methods / Statistical analysis: In this paper, the routing protocol ZBLE based on zonebased technique is used. In this, the leader node is selected using the node's energy label, power analysis, and node position tracking function. The best route has been achieved by the leader node selection algorithm and power analysis. Conclusion: Most energy-related protocols are based on single-route routing, which has not been able to pay much attention to the accumulation of energy, and there have been attempts to make multi-way routing protocols also energy-based protocols, but also these protocols have been unable to make good use of energy. Through the NS2 simulator, network life is extended by reducing energy consumption by using a new energy-based multi-way routing protocol ZBLE. The results of this routing protocol performance evaluation suggest that the ZBLE protocol is superior to the AOMDV and AODV protocols. It is a zonebased technique that works by concentrating on the highest energy of nodes. Simulation results reported that the performance of ZBLE outperformed that of AOMDV and AODV. Applications / improvements: Zone-based technology can be easily used for extremely large networks. Ad-hoc network performance has been improved by improving network quality using this protocol.

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“…Clustering means grouping nodes which are close to each other and has been studied largely in ad-hoc networks (Chatterjee, 2002;Choi, 2006;Zabian, 2008;Agarwal, 2012) and recently in WSNs Dahane, 2014;Benahmed, 2013) where the purpose in general is to reduce useful energy consumption and routing overhead. Recent research studies recognize that organizing mobile WSNs, in the sense defined above, into clusters by using a clustering mechanism is a challenging task.…”

Section: Introductionmentioning

confidence: 99%

Safety of Mobile Wireless Sensor Networks Based on Clustering Algorithm

Dahane

Berrached

Loukil

2016

International Journal of Wireless Networks and Broadband Technologies

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Clustering approaches for mobile wireless sensor networks (WSNs) tend to extend the battery life of the individual sensors and the network lifetime. Taking into account the mobility of the network, a powerful mechanism to safely elect a cluster head is a challenging task in many research works. As a proposed technique to deal with such problem, the approach based on the computing of the weight of each node in the network is chosen. This paper is intended to propose a new algorithm called “S-WCA” for safety of mobile sensor networks based on clustering algorithm using a combination of five metrics. Among these metrics lies the behavioral level metric which promotes a safe choice of a cluster head in the sense where this last one will never be a malicious node. Moreover, a summary of the highlight of the authors' work is provided in a comprehensive strategy for monitoring the network, so as to detect and remove the malicious nodes. Simulation study is used to demonstrate the performance of the proposed algorithm.

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A Framework for Load Sharing in Clustered Ad Hoc Networks

Cited by 4 publications

References 22 publications

Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

Cluster Formation and Maintenance Techniques for Mobile Adhoc Networks with Improved Quality of Service

Energy Consumption Evaluation of ZBLE, AOMDV and AODV Routing Protocols in Mobile Ad-hoc Networks

Safety of Mobile Wireless Sensor Networks Based on Clustering Algorithm

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