Minimizing congestion and improved QoS of AODV using clustering in mobile ad hoc network

Phate, Neelam; Saxena, Madhvi; Rizvi, M. A.

doi:10.1109/icraie.2014.6909217

Cited by 12 publications

(8 citation statements)

References 12 publications

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“…This leads to change in cluster-head which in-turn maximizes the traffic congestion in the network. This proposed method minimizes the congestion which is proved by comparing some performance metrics like end-end delay, routing overhead, packet delivery ratio, throughput, and average energy consumption with the existing methods [9].…”

Section: Methodsmentioning

confidence: 99%

“…CGSR is a proactive protocol that contains routing table information before the connection is established. The proposed method combines the advantages of the pro-active and reactive protocols to enhance the performance of the network [9]. MAODV is used as an algorithm to ICGSR which leads to the improvisation of performance of the CGSR protocol.…”

Section: Introductionmentioning

confidence: 99%

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Congestion Control for Improved Cluster-head Gateway Switch Routing Protocol using Modified Ad-hoc on-demand Distance Vector Algorithm

Mahadevaswamy*¹,

Jananitha²

2019

IJRTE

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MANETs are a trending topic in the wireless communication network. MANETs are formed automatically by an autonomous system of mobile nodes that are connected via wireless links. Cluster-head gateway switch routing protocol (CGSR) is a proactive protocol which is also called table-driven protocol. It consists of routing table information before setting up a connection. Ad-hoc on-demand distance vector protocol (AODV) is a reactive protocol, it sets path only when demanded by the network. CGSR protocol forms a group of nodes into clusters and selects a node as cluster-head based on some clustering algorithms for each cluster. In this paper, we have proposed a protocol, which combines the advantages of both CGSR and AODV to minimize traffic congestion in an ad-hoc wireless network. The performance metrics such as routing overhead, end-end delay, packet delivery ratio, throughput, and average energy consumption are enhanced and compared with other clustering protocols such as CGSR and LEACH protocols. The comparison result reveals that the routing overhead, end-end delay, and the average energy consumption is reduced and packet delivery ratio, throughput is improved.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Congestion Control for Improved Cluster-head Gateway Switch Routing Protocol using Modified Ad-hoc on-demand Distance Vector Algorithm

Mahadevaswamy*¹,

Jananitha²

2019

IJRTE

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“…The performance of RIMCA has been simulated using different performance metrics. Phate et al (2014) proposed a clustering-based enhancement to the AODV routing protocol for supporting congestion control. The selection of the cluster head is proposed on the basis of the congestion status of the nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Recent work on the designing of efficient ad hoc routing protocols focuses either on fault tolerance (Xue and Nahrstedt, 2003;Thallner and Moser, 2005;Oommen and Misra, 2006;Misra et al, 2009Misra et al, , 2012Li et al, 2013;John and Pushpalakshmi, 2014), clustering (Yu and Chong, 2006;Li et al, 2013;John and Pushpalakshmi, 2014;Chatterjee et al, 2002;Gavalas et al, 2006;Ferdous et al, 2011;Aissa and Belghith, 2013;Mahmood and Johari, 2014;Phate et al, 2014), energy conservation (Tseng and Chen, 2007;Safa et al, 2008;Ni et al, 2010;Roda and Charu 2014;Choukri et al, 2014;Kulkarni and Yuvaraju, 2015), node position (Misra and Rajesh, 2011) or a combination of above in order to increase the packet delivery, reducing the overheads and minimising the latency in MANETs. A lot of proposals are given to accomplish these goals at almost every level of the network since from physical layer to transport layer.…”

Section: Related Workmentioning

confidence: 99%

Energy consumption pattern and scalability of routing protocols for heterogeneous MANETs

Rishiwal

Kumar

Yadav

2017

IJCNDS

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Routing proposals in MANETs have been implemented and tested considering homogeneous environment where nodes have equal capabilities and responsibilities to perform. These assumptions are not helpful to realise the actual performance of the routing protocols. Therefore, existing routing protocols should be tested and benchmarked for heterogeneous MANETs (H-MANETs). In this paper, an analysis of AODV, DSR, AOMDV and CBRP protocols is done. The efficacy of these protocols has been judged for varying network size and varying traffic for H-MANETs. Heterogeneity has been introduced in terms of different random initial energy values given to each node. The performance analysis has been done using network simulator (NS-2) for various important performance parameters. Results show that CBRP as compare to other protocols performs better and as a second choice, especially for large traffic, AOMDV is the best protocol. This work is useful for the judicious and sensible selection of the base routing protocol.Keywords: H-MANETs; routing; heterogeneity; energy; scalability.Reference to this paper should be made as follows: Rishiwal, V., Yadav, M. and Kumar, S. (2017) 'Energy consumption pattern and scalability of routing protocols for heterogeneous MANETs', Int.

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“…Agents gather and estimate different link reliability metrics considering residual battery power. Work in [15], proposed protocol SEQCDR multiple metrics of received signal strength, queue length, draining, rate of nodes and the delay in order to enhance the system performance but it lacks in adaptability and intelligence in taking routing decision. In [7], authors proposed congestion and power control techniques based on mobile agent technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Stable energy proficient and load balancing based QoS routing in mobile Ad-Hoc networks: Mobile software based approach

Verma¹,

Sharma²,

Lamba³

2018

Malaya J. Mat.

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Mobile ad-hoc network (MANET) is an infrastructure-less, self-organizing and autonomous network with the advantage of being low-cost and having on-demand setup. Its inbuilt unique characteristics like self-organization, frequent topology change, the high mobility of nodes, and resource scarceness make Quality of Service (QoS) routing is an exigent task. Congestion arises in the networks with constrained resources. Unfair distribution of traffic density is one of the reasons of congestion in the network and leads to higher packet losses, additional delay and earlier battery exhaustion on certain nodes. Link breakage due to node mobility and limitation of mobile node's energy are other key factors which make it difficult to design & develop QoS routing in MANET.To overcome these issues, we propose an energy efficient Quality of service (QoS) routing for uninterrupted communication from source to the destination node using Mobile software agent (MSA) paradigm. Software Mobile agents collect and calculate queue length, stability of neighbour nodes, remaining battery power and queuing delay of each node. Finally, the route is calculated based on the estimated parameters. This protocol is highly efficient for balancing load and discovering stable route meeting the delay needs. In this research study, we provide a summary of existing proposal, their key ideas, and our proposal also a simulation study of DSR Routing (Dynamic Source Routing ) and modified DSR using Matlab simulator on the basis of shortest path, Path hop and average trust value of path.

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Minimizing congestion and improved QoS of AODV using clustering in mobile ad hoc network

Cited by 12 publications

References 12 publications

Congestion Control for Improved Cluster-head Gateway Switch Routing Protocol using Modified Ad-hoc on-demand Distance Vector Algorithm

Congestion Control for Improved Cluster-head Gateway Switch Routing Protocol using Modified Ad-hoc on-demand Distance Vector Algorithm

Energy consumption pattern and scalability of routing protocols for heterogeneous MANETs

Stable energy proficient and load balancing based QoS routing in mobile Ad-Hoc networks: Mobile software based approach

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