Energy‐Aware Multipath Routing Scheme Based on Particle Swarm Optimization in Mobile Ad Hoc Networks

Robinson, Y. Harold; Rajaram, M.

doi:10.1155/2015/284276

“…Robinson and Rajaram [17] had proposed another Energy-aware multipath routing scheme that was based on the Particle Swarm Optimization (EMPSO) using a Continuous-Time Recurrent Neural Network (CTRNN) that solved the problems of optimization. The CTRNN further identifies an optimal path that is loop-free in order to solve the MANETs and their link disjoint paths.…”

Section: Related Workmentioning

confidence: 99%

A Trust Based Multipath Routing for Black Hole Attacks with Group Search Optimization Routing

MAHALAKSHMI¹,

Suresh²

2019

IJITEE

0

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The Mobile Ad hoc Network (MANET) is the collection of some mobile devices that communicate with one another without any help from a centralized administration. For this, the energy is an important issue that has to be addressed since the ad-hoc network nodes have a limited battery power. A secure routing in the MANETs is an area of research that is emerging. The designing of a security protocol which is trustworthy for the ad hoc routing is an extremely challenging task owing to all its unique traits. Due to its minimal configuration and its quick deployment, the MANETs are found to be well-suited for situations in the case of an emergency such as the natural disasters or the military applications. This way, a transfer of data among two nodes need some security. A MANET black-hole attack will occur owing to the malicious nodes attracting data packets by means of a false advertisement of a fresh route to its destination. For this work, the trust-based routing along with the packet forwarding probability. For this work, the Ad hoc On-Demand Multipath Distance Vector Routing (AOMDV) protocol is used and for finding the routing path a trust value will be piggybacked with a route request packet. There was yet another novel algorithm for optimization known as the Group Search Optimizer (GSO) algorithm that was proposed inspired by the behaviour of animals. This GSO-AOMDV was for the purpose of improving the performance of the network. The results of the experiment proved that this method proposed could achieve a better performance compared to the other methods.

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“…The mathematical formulation for bandwidth utilization is written as given below. (6) From equation (6), bandwidth 'B' is measured with ' ' consumed bandwidth and ' ', total available bandwidth. If the bandwidth consumption is low, then the method will be more effective.…”

Section: F Impact Of Bandwidth Consumptionmentioning

confidence: 99%

An Enhanced Method of Secured Energy - Efficient Data Communication in MANET for Emergency Rescue Operation

Jayachitra¹,

Thiagarajan²

2019

IJEAT

1

0

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Mobile Adhoc Network (MANET) is a self configuring network consists of number of mobile nodes which can move in any direction at any time. The MANET is implemented for providing several applications such as border security, emergency rescue operation and business meetings, etc. Data communication between the mobile nodes in wireless environment mainly depends on life time of battery and storage capacity of mobile nodes. This paper presents about design of routing algorithms in order to provide data communication not only energy efficient but also secured. Three methods named Energy Optimized Node Partitioned Cluster Routing (EONPCR), Energy - efficient Polynomial Time Resource Channelized (EE-PTRC) framework and Secured QoS routing and Data Delivery method are proposed. The EO-NPCR method reduces routing delay by identifying appropriate neighbourhood nodes using Neighbourhood Sector-based energy conservation model. The EE-PTRC framework uses Two Hop Propagate Bandwidth Allocation model for reducing the bandwidth consumption also it improves data delivery. The third method named Secured QoS Routing and Data Delivery (SQR-DD) framework provides data communication over secured path also satisfying the QoS, it applies Geo-optimized maximum likelihood routing. The result of three methods is to achieve secured data communication in emergency rescue application by enhancing energy - efficient routing.

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“…The results of simulation prove that this method proposed was quite different from that of the currently existing protocols. Robinson and Rajaram [17] had proposed another Energy-aware multipath routing scheme that was based on the Particle Swarm Optimization (EMPSO) using a Continuous-Time Recurrent Neural Network (CTRNN) that solved the problems of optimization. The CTRNN further identifies an optimal path that is loop-free in order to solve the MANETs and their link disjoint paths.…”

Section: Related Workmentioning

confidence: 99%

A Trust based Multipath Routing for Black Hole Attacks with Group Search Optimization Routing

Priya*¹,

Suganthy²

2019

IJRTE

1

0

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The Mobile Ad hoc Network (MANET) is the collection of some mobile devices that communicate with one another without any help from a centralized administration. For this, the energy is an important issue that has to be addressed since the ad-hoc network nodes have a limited battery power. A secure routing in the MANETs is an area of research that is emerging. The designing of a security protocol which is trustworthy for the ad hoc routing is an extremely challenging task owing to all its unique traits. Due to its minimal configuration and its quick deployment, the MANETs are found to be well-suited for situations in the case of an emergency such as the natural disasters or the military applications. This way, a transfer of data among two nodes need some security. A MANET black-hole attack will occur owing to the malicious nodes attracting data packets by means of a false advertisement of a fresh route to its destination. For this work, the trust-based routing along with the packet forwarding probability. For this work, the Ad hoc On-Demand Multipath Distance Vector Routing (AOMDV) protocol is used and for finding the routing path a trust value will be piggybacked with a route request packet. There was yet another novel algorithm for optimization known as the Group Search Optimizer (GSO) algorithm that was proposed inspired by the behaviour of animals. This GSO-AOMDV was for the purpose of improving the performance of the network. The results of the experiment proved that this method proposed could achieve a better performance compared to the other method.

show abstract

Energy‐Aware Multipath Routing Scheme Based on Particle Swarm Optimization in Mobile Ad Hoc Networks

Cited by 81 publications

References 31 publications

A Trust Based Multipath Routing for Black Hole Attacks with Group Search Optimization Routing

A Trust Based Multipath Routing for Black Hole Attacks with Group Search Optimization Routing

An Enhanced Method of Secured Energy - Efficient Data Communication in MANET for Emergency Rescue Operation

A Trust based Multipath Routing for Black Hole Attacks with Group Search Optimization Routing

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