Achieving Energy Efficiency and Increasing the Network Life Time in MANET through Fault Tolerant Multi-Path Routing

Boddu, Nanditha; Vatambeti, Ramesh; Bobba, Veeramallu

doi:10.22266/ijies2017.0630.18

Cited by 10 publications

(4 citation statements)

References 14 publications

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“…Figure 1 depicts a typical communication scenario in MANET. MANETs routing design exhibits cooperative and distributed behaviour that makes it easier to target in DoS attacks [3].The purpose of DoS attacks is for preventing the users intended from processing the resources available and thereby the services. Intruders in MANETs will compromise easily mobile nodes, and DoS attacks are launched through these nodes that are compromised.…”

Section: Fig 1 Manet Architecture Scenariomentioning

confidence: 99%

An Optimized and Hybrid Energy Aware Routing Model for Effective Detection of Flooding Attacks in a Manet Environment

Nandi

Kannan

2021

Wireless Pers Commun

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Ad Hoc networks for communication have completely replaced the existing communication technologies which are dependant on infrastructure. An attractive and widely utilized field in communication systems is Mobile Ad Hoc Networks or the MANETs which are a derivative of the conventional Ad Hoc Networks. Security of information communicated through MANETs as well as the robust nature of the network is a prime issue of concern and research in recent times. Amongst various attacks prevalent on MANET environment, packet flooding is a common attack and causes a devastating effect on MANET nodes which if left undetected may lead to consequent crashing of the entire network. Floodding attacks also tend to consume enormous energy well above the prescribed energy consumption limits per node resulting in lifetime reduction. Hence, detection of these malicious nodes and their differentiation from trustworthy nodes is taken as the research objective in this paper. This paper presents feature extraction anda classification model based on ANFIS (Adaptive Neuro-Fuzzy Inference System). By using ANFIS classifier, the extracted featureis trained and then classified.Further to counter the flooding cum energy preserving routing, this paper proposes a SMA integration with AODVprotocol called SMA2AODV to detect flooding attacks for MANETs. After detecting, the hybrid model ACO combined with FDR PSO for optimizing energy. ACO-FDR PSO identifies the energy-efficient routeand minimizes energy consumption in the network, toincrease node lifetime that ensures energy-efficient routing. The performance metrics like throughput, packet delivery ratio, attack detection ratio, and energy consumption areanalyzedby using the NS-2 simulator with existing benchmark methods.

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Section: Fig 1 Manet Architecture Scenariomentioning

confidence: 99%

An Optimized and Hybrid Energy Aware Routing Model for Effective Detection of Flooding Attacks in a Manet Environment

Nandi

Kannan

2021

Wireless Pers Commun

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“…Based upon the node route discovery is forwarded to data packets, for reducing the routing overhead, packet loss and increasing delivery of data transmission. Boddu et al (2017) proposed the concept FTMPR (Fault Tolerant Multipath Routing) node which performs the operation using energy. If energy becomes more efficient, it reduces the node or link failure.…”

Section: Background and Related Workmentioning

confidence: 99%

Enhanced cluster-based stable path for load balancing and reducing overhead using artificial bee colony in MANETs

Sundar

Kathirvel²

2020

IJVICS

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A routing overhead plays a vital role in mobile ad-hoc networks. The main issue focused on the previous algorithm is a stable path without considering the overhead of route discovery. The path fails in a route and again reinitiates the discovery process which may lead to additional overhead, increase delay and waste of resource utilisation. The proposed new algorithm reduces the routing overhead for cluster based initial route discovery and data transmission using artificial bee colony (CBRTABC) with ad-hoc on demand distance vector (AODV). This algorithm uses honey bees to calculate the neighbour node for route discovery and a path is established. As a result the cluster head maintains a long period of processing time and produces reliable path. Whenever the optimal path is retained then the additional route discovery overhead is reduced. This projected algorithm is computed in the NS2 simulator produced by improving the packet delivery ratio and it reduces the delay and routing overhead.

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“…In this method network load is calculated by examining node burden which is tedious task because node can consume energy by not only performing active task but also some inactive internal task hence calculating node burden is increased in overhead of the network. In [27] a Fault tolerant multipath routing protocol is proposed. To reduce the packet loss due to route breakage, a new route discovery mechanism has been used.…”

Section: Related Workmentioning

confidence: 99%

Optimized Energy Efficient Hybrid Routing Protocol (EE-HRP) for Minimum Battery Power Consumption in MANET

Ghode¹,

Bhoyar²

2018

IJIES

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Mobile Ad-hoc networks (MANET) are being installed in a wide range of applications like military scenarios, rescue operations, data and device networks etc. Many of these networks uses battery operated nodes. A major requirement of these networks is to wisely utilize the battery power of nodes, so that the nodes can actively participate in process of communication for maximum time span without partitioning the network. This will result into maximum network lifetime which is again main goal in ad hoc routing algorithms. To achieve this we proposed an optimized Energy Efficient Hybrid Routing Protocol (EE-HRP) which uses routing strategy that seeks to find the best balance between minimizing the power consumption and evenly using all nodes within the network to avoid early exhaustion of individual node. In EE-HRP we use multiple threshold values for remaining battery power of nodes and assign different role of each node depending on remaining battery power of the node using our Node Energy Monitoring Algorithm (NEMA). Here we also make use of our previously designed algorithm Zone Head Selection Algorithm (ZHSA) which is used to select maximum energy node as Zone Head (ZH). By doing so we prevent nodes from early battery exhaustion which results to increase network lifetime to some extent. The key factor governing the performance of optimized EE-HRP are theoretically analyzed and evaluated. The simulation results are compared with some MANET routing protocols in different network scales, taking into consideration the power consumption. The theoretical analysis and simulation results shows that our proposed optimized EE-HRP reduces total power consumption, reduces end-to-end delay, increases packet delivery ratio and achieves maximum network lifetime.

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Achieving Energy Efficiency and Increasing the Network Life Time in MANET through Fault Tolerant Multi-Path Routing

Cited by 10 publications

References 14 publications

An Optimized and Hybrid Energy Aware Routing Model for Effective Detection of Flooding Attacks in a Manet Environment

An Optimized and Hybrid Energy Aware Routing Model for Effective Detection of Flooding Attacks in a Manet Environment

Enhanced cluster-based stable path for load balancing and reducing overhead using artificial bee colony in MANETs

Optimized Energy Efficient Hybrid Routing Protocol (EE-HRP) for Minimum Battery Power Consumption in MANET

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