Modified AODV Energy Aware Routing for optimized performance in mobile ad-hoc networks

Ket, Nilam; Hippargi, Shashikant

doi:10.1109/wispnet.2016.7566293

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…The Hop-Power based AODV (PH-AODV) was presented by Ket & Hippargi (2016) . In this approach, the selection of an active route depends on two parameters: energy and the hop count of neighbour nodes.…”

Section: Literature Reviewmentioning

confidence: 99%

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

Alameri

Komárková

Al-Hadhrami

et al. 2022

PeerJ Computer Science

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Mobile ad-hoc networks (MANETs) and wireless mesh networks (WMNs) are used in a variety of research areas, including the military, industry, healthcare, agriculture, the Internet of Things (IoT), transportation, and smart cities. The swift advancement in MANET technology is the driving force behind this rising adoption rate. Routing over MANET is a critical problem due to the dynamic nature of the link qualities, even when nodes are static. A key challenge in MANETs is the need for an efficient routing protocol that establishes a route according to certain performance metrics related to the link quality. The routing protocols utilised by the nodes in WMNs and MANETs are distinct. Nodes in both types of networks exchange data packets through the routing protocols. For this highly mobile network, the ad-hoc On-Demand Distance Vector (AODV) routing protocol has been suggested as a possible solution. Recent years have attracted researchers’ attention to AODV since it is a routing technique for ad-hoc networks that prevents looping. The architecture of this routing protocol considers several factors, including the mobility of nodes, the failure of connection links, and the loss of packets. In this systematic review, one of the key focuses is bringing attention to the classic AODV, which was developed after discussing the recent development of several versions of AODV. The AODV routing protocol performs a path strength check to generate a more reliable and secure route between the source and destination nodes. In AODV, investigations demonstrate advances in both the format protocol approach and the network simulation-2 (NS-2), and these improvements were made in the same scenario used to revitalise AODV. It has been discovered that the AODV is more effective in several aspects, such as throughput, end-to-end delay, packet delivery ratio (PDR), energy consumption, jitter, packet loss ratio, and network overhead. Furthermore, this paper presents this systematic review based on AODV modifications in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). It also provides a methodological framework for the papers’ selection.

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Section: Literature Reviewmentioning

confidence: 99%

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

Alameri

Komárková

Al-Hadhrami

et al. 2022

PeerJ Computer Science

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“…After simulation, the results show that directional antenna is more efficient in enhancing the spatial diversity and reducing collisions. In an another work [12], the authors developed two extension of AODV protocol, the first is AODVEA protocol, which incorporates local forwarding decision based on max min energy of nodes in order to increase the lifetime of the network. The second (AODVM) combines the same local forwarding decision parameters used in AODVEA protocol and shortest distance.…”

Section: Related Workmentioning

confidence: 99%

Mobility-prediction and energy optimization for multi-channel multi-interface ad hoc networks in the presence of location errors

Faouzi

Boutalline

2021

IJEECS

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We present a mobility-prediction and energy optimization solution for multi-channel multi-interface (MCMI) ad hoc networks in the presence of location errors. This solution includes routing of the MCMI communication links that adapt to dynamic channel, traffic conditions, interference and mobility of nodes. We start first with implementing a novel cross-layer routing solution in order to share information between network and MAC layer, the benefit of this technique is to collect information about the channel quality and residual energy of the nodes and send them directly to the network layer. Next, we present a mobility-prediction model using Kalman filter to predict accurate locations and enhance routing performance, through estimating link duration and selecting reliable routes. The performance of proposed mechanism is measured using NS2.35 simulations with different scenarios and varying load in a network. Comparative analysis of simulation results shows better performance of our protocol (ME-MCMI AODV) in terms of reducing end-to-end delay, total dropped packets and increasing network lifetime and packet delivery ratio (PDR).

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“…In [20] N. Ket proposed AODVM (AODV MODIFIED) is a development of AODV Energy Aware (AODVEA), the selection of nodes based on the threshold. The process was carried out when the node sends RREQ to an adjacent node by initializing remaining energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Gaussian Prediction Method to Enhance Energy Efficient in Energy Aware AODV

2019

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One of the concerns in the development routing protocol in Mobile Ad Hoc Network is energy consumption which is very influential on package delivery. Energy Delay Aware Ad hoc Demand on Distance Vector (EA-AODV) is one of the routing protocols for the development of Ad hoc Demand on Vector (AODV) that considers energy when receiving packets stored in the routing table. The routing protocol applies the Dijkstra algorithm to determine the shortest route by considering the sequence number and hop count. In the development carried out on EA-AODV is a modification of the Dijkstra algorithm by adding a gaussian prediction method in consideration of the energy level that is expected to be more efficient in terms of energy consumption. Gaussian prediction method was executed in receive request (RREQ) when the packet saved in the routing table. The Application of the network protocol was conducted by comparing the performance of AODV with EA-AODV. The consumption energy of EA-AODV is more efficient at 12.07% compared to AODV.

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Modified AODV Energy Aware Routing for optimized performance in mobile ad-hoc networks

Cited by 10 publications

References 6 publications

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

Systematic review on modification to the ad-hoc on-demand distance vector routing discovery mechanics

Mobility-prediction and energy optimization for multi-channel multi-interface ad hoc networks in the presence of location errors

Gaussian Prediction Method to Enhance Energy Efficient in Energy Aware AODV

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