A Hyper-Exponential Factor-Based Semi-Markov Prediction Mechanism for Selfish Rendezvous Nodes in MANETs

Janakiraman, Sengathir; Jayasingh, Bipin Bihari

doi:10.1007/s11277-019-06481-0

Cited by 16 publications

(22 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[27][28][29] This simulation experiment is conducted using AODV as the base protocol. [30][31][32][33][34] In the simulation setup, a network terrain area of 1000 Â 1000 square meters is considered with 200 mobile nodes randomly deployed throughout the entire area. [35][36][37] The mobile nodes move based on the random way point model and the percentage of packet dropped by them is set to 70%-90%.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…A semi-Markov prediction mechanism-based cooperation enforcement scheme is proposed with the merits of hyper-exponential factor in order to forecast the degree of trust that could be rendered by each mobile node during the routing process. 18 It estimates the likelihood probability for identifying the mobile nodes that have the possibility of being compromised by the rendezvous point misbehavior. It uses semi-Markov process for predicting the actual probability of node cooperation with reduced amount of time, as failed mobile nodes cannot be transformed into cooperative nodes.…”

Section: Related Workmentioning

confidence: 99%

“…Finally, the complete ranking of mobile node alternatives can be determined using PROMETHEE-II based on Equations ( 17) and (18).…”

Section: Promethee-ii-based Complete Ranking Of Mobile Nodesmentioning

confidence: 99%

“…The simulation results of FLTM confirm better results in terms of energy consumption, routing packet overhead, average delay, and packet delivery ratio compared to the ad hoc on‐demand trusted‐path distance vector (AOTDV), dynamic source routing (DSR), and traditional AODV algorithms. A semi‐Markov prediction mechanism‐based cooperation enforcement scheme is proposed with the merits of hyper‐exponential factor in order to forecast the degree of trust that could be rendered by each mobile node during the routing process 18 . It estimates the likelihood probability for identifying the mobile nodes that have the possibility of being compromised by the rendezvous point misbehavior.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Fuzzy preference ranking organization method for enrichment evaluation‐based node cooperation technique for improving QoS in MANETs

Mylsamy¹,

Jayaprakash²

2022

Int J Communication

View full text Add to dashboard Cite

Summary Cooperation between mobile nodes is the predominant factor required for achieving reliable data dissemination in mobile ad hoc networks (MANETs), since non‐cooperative nodes crumbles the routing process and degrades network performance. The degree of non‐cooperation rendered by mobile nodes need to be accurately identified by exploring feasible and comprehensive number of criteria to achieve maximized cooperation in uncertain MANET. In this paper, fuzzy preference ranking organization method for enrichment evaluation (FPROMETHEE)‐based node cooperation technique is proposed with the merits of trapezoidal fuzzy interval numbers that aids in the selection of high trustworthy mobile nodes for attaining maximized data delivery. This FPROMETHEE technique utilizes complex and multiple criteria for potential ranking in the presence of finite number of mobile nodes. It prevented the bias of information that is more common during the judgmental process associated with the cooperation estimation of mobile nodes. It includes information about the relative weights of criteria and decision maker's preferences for estimating the trust of mobile nodes to include or isolate them from the routing path. It is also useful in handling the degree of uncertainly involved in the process of routing without compromising Quality of Service (QoS) level in the network. The simulation experiments of the proposed FPROMETHEE technique conducted using ns‐2 simulator confirmed its predominance in enhancing the packet dissemination rate, throughput, energy consumptions, total overhead, and packet loss rate for different number of mobile nodes, malicious nodes, and pairs of source and destination nodes.

show abstract

Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

“…Finally, the complete ranking of mobile node alternatives can be determined using PROMETHEE-II based on Equations ( 17) and (18).…”

Section: Promethee-ii-based Complete Ranking Of Mobile Nodesmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy preference ranking organization method for enrichment evaluation‐based node cooperation technique for improving QoS in MANETs

Mylsamy¹,

Jayaprakash²

2022

Int J Communication

View full text Add to dashboard Cite

show abstract

“…The performance of the proposed GTF-GDMT and the benchmarked FS-INDISM [17], SREEF [19] and FRCES [16] approaches are evaluated based onthe simulation conducted using ns-2.34 network simulator. In this simulation process, the MANET architecture is supported through the extensive use of AODV protocol [21][22][23]. This AODV protocol is used as the base protocol for the complete routing process as it is considered as one of the most widely renowned reactive protocols over which dynamic decision process can be achieved.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Gaussian Trust Factor-based Grey Decision Making Technique (GTF-GDMT) for Node Cooperation Enforcement in MANETs

Sirisala¹,

Krishna²

2021

IJIES

View full text Add to dashboard Cite

The successful routing in Mobile Ad hoc Networks (MANETs) completely depends on the cooperation established between the mobile nodes during data dissemination. The resource constraint feature of mobile nodes is the main reason behind its non-cooperativeness attributed towards other interacting nodes of the network. This degree of non-cooperation rendered by the mobile node disturbs the routing and degrades the network performance. Thus, a node cooperation enforcing approach that distinguishes genuine node from malicious node is essential for sustaining the network performance. In this paper, Gaussian Trust Factor-based Grey Decision-Making Technique (GTF-GDMT) is proposed for maintaining the network performance independent to the influence of non-cooperative malicious nodes. This proposed GTF-GDMT identified the malicious nodes based on the trust factor that integrates the parameters of link stability and node reputation determined through direct and indirect monitoring process. This computation of trust is achieved using the Gaussian probabilistic distribution model that utilizes multi-perspective parameters that forms the input to the decision-making process. It is proposed for attaining the trade-off between energy consumption, transmission performance and security. The simulation experiments of the proposed GTF-GDMT conducted using ns-2 portrayed its excellence over the baseline schemes in terms of throughput, packet delivery rate, packet delay, energy consumptions and packet drop independent to the number of mobile nodes and malicious nodes in the network.

show abstract

Fuzzy COmplex PRoportional ASsessment of alternatives‐based Node Cooperation Enforcing Trust Estimation Scheme for enhancing Quality of Service during reliable data dissemination in Mobile Ad hoc Networks

Sirisala

Krishna

2021

Int J Communication

View full text Add to dashboard Cite

Summary Trust is considered as the most significant factor that helps in enforcing cooperation among the autonomous nodes of Mobile Ad hoc Network (MANETs). The computation of trust is essential for assessing the level of cooperation rendered by each individual mobile toward the activity of data routing. The calculation of trust in a self‐configuring and infrastructure‐less network is a challenge due to the dynamic movement of mobile nodes. Moreover, the trust of intermediate nodes in the routing path needs to be estimated for preventing the deterioration of network performance. In this paper, a Fuzzy COPRAS‐based Node Cooperation Enforcing Trust Estimation (FCOPRAS‐NCETE) Scheme was proposed for maintaining superior Quality of Service (QoS) in the event of reliable data dissemination. This proposed FCOPRAS‐NCETE Scheme was proposed for comprehensive ranking of mobile nodes acting as intermediate nodes between the source and destination nodes. It incorporated the benefits of fuzzy set theory and COmplex PRoportional ASsessment of alternatives (COPRAS) to determine the trust of intermediate nodes for isolating them from the routing path in the uncertain routing process with the objective to maintain superior QoS in the network. The simulation experiments of the proposed FCOPRAS‐NCETE Scheme conducted using ns‐2 confirmed its predominance in improving the throughput, packet dissemination rate, packet loss rate, energy consumptions and total overhead with different number of mobile nodes, CBR traffic rate and pairs of source and destination nodes in the network.

show abstract

A Hyper-Exponential Factor-Based Semi-Markov Prediction Mechanism for Selfish Rendezvous Nodes in MANETs

Cited by 16 publications

References 11 publications

Fuzzy preference ranking organization method for enrichment evaluation‐based node cooperation technique for improving QoS in MANETs

Fuzzy preference ranking organization method for enrichment evaluation‐based node cooperation technique for improving QoS in MANETs

Gaussian Trust Factor-based Grey Decision Making Technique (GTF-GDMT) for Node Cooperation Enforcement in MANETs

Fuzzy COmplex PRoportional ASsessment of alternatives‐based Node Cooperation Enforcing Trust Estimation Scheme for enhancing Quality of Service during reliable data dissemination in Mobile Ad hoc Networks

Contact Info

Product

Resources

About