Modified Bi-directional Routing with Best Afford Path (MBRBAP) for Routing Optimization in MANET

Malathi, M.; Jayashri, S.

doi:10.1007/s11277-016-3233-9

Cited by 8 publications

(8 citation statements)

References 6 publications

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“…In 2016, Malathi et al [11] had introduced MBRA approach for decreasing the ACK overhead and eradicating the malicious attacks. The BAP was grasped by suggested approach using cluster heads, which utilized optimal bandwidth for sending the data packets by routing the nodes in clockwise and anti-clockwise routing procedure that identified and conquered the malicious attacks with an IDS/IPS coupled methodology.…”

Section: A Related Workmentioning

confidence: 99%

Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs

Devi*,

Rao

2020

IJRTE

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The mobile devices usage has been widespread, which directly impacts the increase of mobile communication, the increased usage of Mobile Ad-hoc networks(MANETs) has brought a rapid growth in the technology development. MANETs can be deployed in any environment conveniently as it comes under the category of ad-hoc networks which is infrastructureless. Due to flexibility of deployment features, it is compatible with other networks like PAN, LAN, etc.,. MANET is applicable in many applications like rescue of emergency disasters, military operations and other special environments where wired system may not support and of urgency. Since, MANETs are having the property of infrastructureless, nature of topology of network being dynamic, and lack of authority certification leads to certain problems with regard to security from attackers. In MANETs high attention should also be given to security parameter along with other parameters for efficient routing. With the aim of facing the possibility of malicious node attacks, the proposed paper presents the technique of detecting the malicious nodes attacks caused form two major attacks like blackhole and wormhole attacks are detected and prevented by Cooperative Bait Detection Scheme (CBDS). Once those attacks are prevented, the routing efficiency in MANETs for Chicken Swam Optimization based A* algorithm is improved, which is a computer algorithm that is broadly deployed in path finding and graph traversal. The comparative examination of Optimized A*, Ad-hoc On-Demand Distance Vector (AODV) with the proposed model against attacks, enhances the performance.

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Section: A Related Workmentioning

confidence: 99%

Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs

Devi*,

Rao

2020

IJRTE

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“…The th agent position, when there is a amount of agents in the GSA is represented as = , , … , , where th agent position in dimension is denoted as . Equation (3) shows the force acted on the agent from th agent.…”

Section: Gravitational Search Algorithm Based Routingmentioning

confidence: 99%

“…This MANET doesn't requires any pre-existing infrastructure to perform the communication among the mobile nodes [1] [2]. The mobile nodes in the dynamic mobile network is act as router as well as host [3]. If the nodes are not in the transmission range of the source node, that requires other nodes for transmit the data to the respective destination [4].…”

Section: Introductionmentioning

confidence: 99%

A Cluster based Routing Protocol for MANET using Mahalanobis Distance based Clustering and Gravitational Search Algorithm

Kumar¹

2020

IJATCSE

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Mobile ad hoc network is generally an independent wireless network in the mobile nodes are communicated through the wireless links without using any centralized infrastructure. Since, the dynamic topology of the network affects the routing and data transmission between the nodes. In this research, an effective clustering and routing methods are developed to improve the MANET performances. The mahalanobis distance based clustering algorithm is used to select an effective cluster head from the network. Then gravitational search algorithm is used to find a routing path from the source to the destination over the cluster heads. The fitness function of gravitational search algorithm considers the multi objective such as residual energy, distance and node degree for optimizing the network performances. The performance of the proposed method are taken in terms of average packet delivery ratio, energy consumption, average end to end delay and normalized control overhead. The performance of the proposed method is compared to with two exiting works such as FEER and FHACO.The energy consumption of proposed method is 940J at 300 data packets that is less when compared to the FEER and FHACO.

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“…Although there are some defects such as route request packet will reach all the nodes present in the network, it is not measured to huge networks, and it requires more number of processing resources. MBRA [6] reduces the ACK overhead, and increases the PDR with less delay. However, it cancels outs the complimentary situations.…”

Section: Reviewmentioning

confidence: 99%

Impact of Improved Chicken Swam Optimization Based A algorithm In MANETs Routing

Devi,

Rao

2019

IJEAT

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Wireless devices utilization had increased drastically, which has shown an impact on over-all demand and utilization Mobile Ad-Hoc Network (MANET). Routing protocol is the fundamental and vital performance factor in the Mobile Ad-hoc Network (MANET). The routing protocols in MANET are accomplished to handle a lot number of nodes with restricted resources. Multiple routing protocols exist in MANETs. Once of the main challenges in routing protocols is its generation of adverse influence on network performance. Accordingly, this paper plans to implement an obstacle-ware MANET routing model using improved meta-heuristic-based A* algorithm. The algorithm efficiently plots a path between multiple nodes avoiding obstacles, or points, on the graph that results in producing a shortest path without any obstacles. The improved meta-heuristic algorithm termed as Fitness and Position Ratiobased Chicken Swarm Optimization (FPR-CSO) is used to improvise the A* algorithm. The comparative analysis of different optimized A* over Ad hoc On-Demand Distance Vector (AODV) confirms the consistent performance of the proposed model

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Modified Bi-directional Routing with Best Afford Path (MBRBAP) for Routing Optimization in MANET

Cited by 8 publications

References 6 publications

Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs

Security Improved Chicken Swarm Optimization Based A* Routing Algorithm on MANETs

A Cluster based Routing Protocol for MANET using Mahalanobis Distance based Clustering and Gravitational Search Algorithm

Impact of Improved Chicken Swam Optimization Based A algorithm In MANETs Routing

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