Enhanced domination set based routing in mobile ad hoc networks with reliable nodes

Preetha, K. G.; Unnikrishnan, A.

doi:10.1016/j.compeleceng.2017.04.028

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…The proposed protocol improved the PDR ratio in heavy traffic situations. Reliable Dominating set‐based Routing (RDBR) 9 was investigated for discovering the best dominating nodes. The proposed protocol achieved better stability, higher PDR rate, and energy utilization.…”

Section: Related Workmentioning

confidence: 99%

Design of a novel micro‐Zone adaptive Energy‐Trust evaluation Active On‐Demand Vector protocol to optimize communication in challenging and attacked mobile network

Juneja

2022

Int J Communication

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High congestion, mobility, and energy restrictions are the critical challenges to mobile networks. The conventional routing protocols are unable to ensure effective and reliable communication in such dynamic and unpredictable situations. In this paper, a novel micro-Zone adaptive Energy-Trust evaluation Active On-Demand Vector (mZ-ETAODV) protocol is designed to provide routing solutions in extreme conditions. In this work, the complete network is divided into smaller zones of nxn. The extreme zone position-based evaluation is conducted to handle the stability and to identify the next intermediate node.The zone-covered neighbors are further computed under energy and trust measures to identify the most reliable neighbor. The proposed protocol is simulated under high mobility, congestion and man-in-middle attack situations. The analytical observations are recorded in terms of Packet Delivery Ratio (PDR) ratio, energy consumption, delay and communication loss parameters.The comparative results are generated against AODV, SAODV, PSAODV, PDS-AODV, NVS-AODV, iNVS-AODV, Tripathy et al., DFMCRP, FBSSR, MBDP-AODV, AGHA, and Singh et al. protocols. The experimentation is conducted in a highly challenging mobile network with high congestion, high mobility, energy restriction, existence of blackhole, grayhole, DDOS, and mixed attacks. These attacks are performed with 0% to 10% density, and analysis is conducted against PDR ratio, communication delay, route switching, dead node count, remaining energy, and attack detection rate measures. The analysis results identified that the proposed protocol reduced the communication delay and energy consumption and achieved significant gain in attack detection rate, network life and PDR ratio.

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Section: Related Workmentioning

confidence: 99%

Design of a novel micro‐Zone adaptive Energy‐Trust evaluation Active On‐Demand Vector protocol to optimize communication in challenging and attacked mobile network

Juneja

2022

Int J Communication

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“…The method uses neural networks to optimize routing protocols as described in this paper to accommodate the high-speed movement of nodes, but its path selection is not the most reliable and its transmission links are susceptible to the high-speed movement of nodes, which leads to low communication quality. The literature [ 28 ] proposes a multi-intelligence based adaptive DSR (MA-DSR) protocol that optimizes the entire system through simple node-level management behaviors and incorporates factors such as signal strength into routing metrics in order to predict link disruptions before they occur. Based on this, the communication performance of the DSR protocol can be improved by updating the selection of the optimal path based on congestion measurements and energy levels of each node.…”

Section: Related Workmentioning

confidence: 99%

A dynamic source routing protocol based on path reliability and link monitoring repair

Qing

Lin

et al. 2021

PLoS ONE

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The two most essential factors for mobile self-organizing networks applicable to drones are reliability and stability. In harsh communication environments, such as mountainous regions and natural disasters, the use of satellites and terrestrial communication stations has severe time delays due to the high speed of UAVs, resulting in frequent communication interruptions with UAVs. Therefore, UAVs need to establish self-organizing networks for communication and information sharing. High-speed movement will lead to rapid changes in the network topology, resulting in established links being in an unstable connection state and even frequent routing errors, thus preventing the establishment of stable communication links. In order to improve the communication quality of UAVs under high-speed movement, we propose a dynamic source routing protocol based on path reliability and monitoring repair mechanism (DSR-PM). The model performs data transmission by filtering the best reliability path. The link state information is monitored during transmission and broken links are repaired in time to ensure the communication stability and reliability of the links and improve the data transmission efficiency. We simulated the approach in NS2 software and the simulation results show that the DSR-PM protocol effectively reduces parameters such as overhead, packet loss and delay, improves network throughput, and provides better communication performance.

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“…Based on technique of routing data upgrade, routing mechanisms of MANET have been categorized into two categories: interactive and proactive routing schemas [10][11][12]. The majority of previous researches deduced that functioning of interactive schemas further effective compared with proactive schemas particularly when MANET exposed for more changing topology [13,14]. AODV is most celebrated interactive directing scheme of MANET [15], at which path setting takes form multi hops style for every two communicated nodes.…”

Section: Due To Enormous Advancement In Technology Of Radio Communicamentioning

confidence: 99%

Multi-Route AODV Protocol in Association with Overhearing Concept for Routes Selection Based on Unified Norm Composed of the Steadiness, Traffic Load and Energy Coefficients for Nodes

Nouh*,

Youssef,

Marei

2020

IJITEE

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Mobile Ad-hoc Network (MANET) considered as one of the major important neoteric directions of wireless networks that allows movable devices to communicate with each other’s at any time anywhere. The main distinctive feature of MANET is its operation does not depend on any type of centralized administration. Due to non-truancy of localized management, devices motion and MANET resources scarcity, routing design mechanisms becoming essential problem that faces MANET until yet. Therefore, this article focuses on performance enhancement for one of most notorious interactive routing schemes that is called Ad-hoc On Demand distance Vector (AODV). Where performance refinement for AODV has been achieved via modification of route creation and maintenance processes, conjunction with overhear concept and getting multiple routes for each source - destination pair, in such a way that reduce energy consumption of nodes, avoiding unnecessary control packets, getting a more stable paths among communication nodes and fulfillment of a balanced traffic load among nodes, leading to elongate life time of nodes. Hence, prolonging life time of network. The proposed algorithm is called, Steadiness, balanced Load and Energy efficient for Multiple paths of Overhear AODV (SLE-MOAODV), where route election depending on unified metric called efficiency factor of node (NEF), which composed of parameters of stabilization, traffic load and energy for node. Functioning appraisal and comparison among proposed algorithm (SLE-MOAODV) and original AODV was carried out utilizing network simulator NS2. Outcome of simulation proved that functioning of proposed scheme outdo the original AODV with regard to: ratio of successfully delivered packets, retard time, routing cost and spent energy of nodes.

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Enhanced domination set based routing in mobile ad hoc networks with reliable nodes

Cited by 8 publications

References 8 publications

Design of a novel micro‐Zone adaptive Energy‐Trust evaluation Active On‐Demand Vector protocol to optimize communication in challenging and attacked mobile network

Design of a novel micro‐Zone adaptive Energy‐Trust evaluation Active On‐Demand Vector protocol to optimize communication in challenging and attacked mobile network

A dynamic source routing protocol based on path reliability and link monitoring repair

Multi-Route AODV Protocol in Association with Overhearing Concept for Routes Selection Based on Unified Norm Composed of the Steadiness, Traffic Load and Energy Coefficients for Nodes

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