Erlang coefficient based conditional probabilistic model for reliable data dissemination in MANETs

Manoharan, R.; Sengathir, J.

doi:10.1016/j.jksuci.2014.10.008

Cited by 9 publications

(7 citation statements)

References 20 publications

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“…[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%

“…The simulation experiments of the proposed FPROMETHEE‐NCE scheme and the benchmarked FCOPRAS‐NCE, TSVRLPB‐NTE, and FUCEM approaches are conducted using the network simulator ns 2.34 27–29 . This simulation experiment is conducted using AODV as the base protocol 30–34 . In the simulation setup, a network terrain area of 1000 × 1000 square meters is considered with 200 mobile nodes randomly deployed throughout the entire area 35–37 .…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

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

Mylsamy¹,

Jayaprakash²

2022

Int J Communication

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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.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Simulation Results and Discussionmentioning

confidence: 99%

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

Mylsamy¹,

Jayaprakash²

2022

Int J Communication

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“…The simulation time used for implementing the proposed BPFI‐POR scheme is 11.04 min. The number of sources and destination pairs considered for establishing direct interaction between one another is 40 23‐25 . The cooperation degree set to each mobile node during the start of simulation is 1.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Arunachalam

Perumal

2022

Trans Emerging Tel Tech

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The sensor nodes comprising sensing devices, small processing units, and battery, cooperate in wireless sensor networks (WSNs) for gathering potential factors that aids in achieving significant decision‐making processes in deployed applications. WSNs are vulnerable to security threats due to their open nature, availability characteristics, and lack of energy, resulting in a diversified number of security attacks. Among the security attacks, vampire attack is the serious threat as they drain the energy of nodes, which in turn crumbles the network lifetime and energy stability in WSNs. In this article, Bi‐Polar Information‐Based Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE)‐based outranking scheme is proposed for detecting and isolating vampire attacks to improve throughput with minimized energy consumptions and delay for prolonging lifetime. This proposed BPFI‐POR scheme used bipolar information that facilitates an asymmetrical association between two decision making factors that influences the discrimination and selection of genuine nodes from vampire nodes during the routing process. It aids in characterizing precise and vague information through bipolar fuzzy linguistic terms that has the maximized probability of being represented as trapezoidal bipolar fuzzy numbers. It estimated the cooperation of intermediate sensor nodes' based on trapezoidal bipolar fuzzy numbers for determining their preference or selection using criteria that could be influenced during the routing process. It also used the ranking function for accessing the alternatives through crisp real preferences with entropy weighting information responsible for attributes weight computation. The simulation results of the BPFI‐POR scheme confirmed better throughput, detection time with minimized energy consumptions and latency on par with the competitive algorithms.

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“…As a consequence, the mathematical optimization methods were identified to be highly unproductive in handling real world problems 16 . The population‐based algorithms are generally focused on randomization and possess two vital stages such as exploration and exploitation for determining optimal results 17,18 . A Border Collie optimization algorithm (BCOA) was developed based on the inspiration derived from the sheep herding styles of Border Collie dogs 19 .…”

Section: Introductionmentioning

confidence: 99%

“…16 The population-based algorithms are generally focused on randomization and possess two vital stages such as exploration and exploitation for determining optimal results. 17,18 A Border Collie optimization algorithm (BCOA) was developed based on the inspiration derived from the sheep herding styles of Border Collie dogs. 19 The herding styles of Border Collie dogs are unique and they track the sheep by leading from the front and on the left and right directions.…”

Section: Introductionmentioning

confidence: 99%

Border Collie optimization algorithm‐based node clustering technique in vehicular ad hoc networks

Godi¹,

Janakiraman²

2022

Trans Emerging Tel Tech

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In vehicular ad hoc networks (VANETs), the nodes are vehicles and these vehicles communicate with one another on the road. The vehicular nodes on the road move continuously and it introduces dynamic changes in the topology of the network. When the node density in the vehicular network is high, then it is still more challenging as these situations introduce different challenges for network scalability and hurdles the process of determining an optimal route in the vehicular network. At this juncture, clustering protocols are often utilized for resolving the issue of network scalability and the factors that hinders process of identifying optimal routes in vehicular network. In this article, Border Collie optimization algorithm‐based node clustering technique (BCOA‐NCT) is proposed for achieving optimal cluster head selection that minimizes network overhead in uncertain node density situations. This BCOA‐NCT is proposed for facilitating equal concentration on both exploitation and exploration during the process of clustering. It utilized the strategy of eyeing for preventing the algorithm from being stuck into local optima during the cluster head selection process. The simulation experiments of the proposed BCOA‐NCT and the benchmarked schemes confirmed better throughput of 6.19%, minimized end‐to‐end delay of 7.24%, reduced mean energy consumptions of 6.89%, and reduction in the number of beacon messages utilized by 8.26% under the impact of different density of vehicular node. The outcome of the results indicated that the proposed BCOA‐NCT on par with the baseline approaches is capable enough in handling the issue of scalability and better estimation of optimal routes under the increase of node density in the vehicular network.

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Erlang coefficient based conditional probabilistic model for reliable data dissemination in MANETs

Cited by 9 publications

References 20 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

Bipolar fuzzy information‐based PROMETHEE‐based outranking scheme for mitigating vampire attack in wireless sensor networks

Border Collie optimization algorithm‐based node clustering technique in vehicular ad hoc networks

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