Mobile agents based congestion aware routing in mobile ad hoc networks

Shekhar, H. M. P.; Ramanatha, K. S.

doi:10.1049/cp:20050191

Cited by 3 publications

(2 citation statements)

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“…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. In [21] ,Routing protocol called AMAODV presented by combining multiple matrices (relative velocity, queue length and hop count).…”

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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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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“…When such drops become common events, the network is called congestion. [4] [6] Hence, the multi-path communication is an optimized solution for the congestion minimization (Ron Banner and Ariel Orda, 2009; B. Sasthiri and T. Prakash, 2012). In this paper, the congestion aware multi point relay protocol is proposed.…”

Section: Introductionmentioning

confidence: 99%

Congestion Aware Multi-Path Routing Protocol with Load Balancing

Supriya

Chand²,

Sekhar

2017

IJAAS

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The multi-path routing protocol is one of the approaches used to have less overhead, better bandwidth cost through the load distribution among a set of paths. However, due to the interference of the paths during the communication, it increases the end to end delay and do not work well under a highly congested network. We have proposed the congestion aware multi-path routing protocol with load balancing. The paper explains the problem associated with the end-to-end delay. It deals with the problem of channel interference during the Multi-path communication. It suggests the congestion control mechanisms to improve the protocol performance. It proposes an additive increase/ multiplicative decrease and fast retransmits and recovery process and also it suggest the algorithm for load balancing scheme. In order to minimize the congestion formation, it selects the node disjoint paths for communication. The correlation factor among the selected multiple paths are calculated. It calculates the congestion formation in the network. It compares the proposed MPR protocol with ordinary DSR through the simulation and the simulation results are discussed.

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Mobile agents based framework for routing and congestion control in mobile ad hoc networks

Shekhar

Ramanatha

2006

Proceedings of the 2006 ACM CoNEXT Conference on - CoNEXT '06

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Mobile agents based congestion aware routing in mobile ad hoc networks

Cited by 3 publications

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

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

Congestion Aware Multi-Path Routing Protocol with Load Balancing

Mobile agents based framework for routing and congestion control in mobile ad hoc networks

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