Flooding-limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs

Yen, Yun‐Sheng; Chao, Han‐Chieh; Chang, Ruay-Shiung; Vasilakos, Athanasios V.

doi:10.1016/j.mcm.2010.10.008

Cited by 198 publications

(81 citation statements)

References 18 publications

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“…Definition 4: End-to-end delay (D): Is the sum of node delay and link delay of all links (Yen et al, 2011) along the path P; it can be expressed as: Is very important metric to be considered while finding a optimal path between any two nodes. This metric has a severe impact on throughput (Budyal et al, 2012;Isik et al, 2012).…”

Section: Re Residual Energymentioning

confidence: 99%

“…This results in slow convergence thus increasing the throughput degradation. In a space propagation model (Yen et al, 2011) the signal strength depends on distance to the transmitter. So, to find whether two nodes remains connected or not, the transmission range, direction of the movement, and current position of the neighbouring nodes are used.…”

Section: Re Residual Energymentioning

confidence: 99%

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Fuzzy cost probability-based suppressed flooding multi-constrained QoS multicast routing for MANETs

Santhi

Jaisankar

2017

IJHPCN

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Abstract:The core objective of our approach is to build a highly strong forwarding group and a stable mesh structure using fuzzy inference system. The fuzzy inference system takes multiple interrelated QoS parameters such as residual bandwidth (RB), residual energy (RE), link loss ratio (LLR), end-to-end delay (D), number of intermediate nodes (N) and link expiration time (LET) to find a strong node from a set of mobile nodes. A node can be classified as strong when the fuzzy cost probability (FCP) is high otherwise it is classified as a weak node. The proposed fuzzy cost probability-based multi-constrained QoS multicast routing (FCPMQMR) consists of two phases. The first phase performs the selection of forwarding node using fuzzy logic technique. The second phase builds a stable backbone mesh structure. In case of node failure, an alternative path from the primary route through another forwarding node is selected for communication. Simulation results demonstrate that the proposed FCPMQMR improves the packet delivery ratio by 5%-10% success ratio by 35%, and decreases the average end-to-end delay by 10%-15% and control overhead by 45%.

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Section: Re Residual Energymentioning

confidence: 99%

Section: Re Residual Energymentioning

confidence: 99%

Fuzzy cost probability-based suppressed flooding multi-constrained QoS multicast routing for MANETs

Santhi

Jaisankar

2017

IJHPCN

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“…GA can solve large optimization problems with large search spaces and it has been used e.g. to solve routing problems [9,10] and for network traffic prediction [11,12,13]. An important feature of GA is that it provides a near-optimal solution in quick time.…”

Section: Introductionmentioning

confidence: 99%

Predicting expected TCP throughput using genetic algorithm

2016

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Predicting the expected throughput of TCP is important for several aspects such as e.g. determining handover criteria for future multihomed mobile nodes or determining the expected throughput of a given MPTCP subflow for load-balancing reasons. However, this is challenging due to time varying behavior of the underlying network characteristics. In this paper, we present a genetic-algorithm-based prediction model for estimating TCP throughput values. Our approach tries to find the best matching combination of mathematical functions that approximate a given time series that accounts for the TCP throughput samples using genetic algorithm. Based on collected historical datapoints about measured TCP throughput samples, our algorithm estimates expected throughput over time. We evaluate the quality of the prediction using different selection and diversity strategies for creating new chromosomes. Also, we explore the use of different fitness functions in order to evaluate the goodness of a chromosome. The goal is to show how different tuning on the genetic algorithm may have an impact on the prediction. Using extensive simulations over several TCP throughput traces, we find that the genetic algorithm successfully finds reasonable matching mathematical functions that allow to describe the TCP sampled throughput values with good fidelity. We also explore the effectiveness of predicting time series throughput samples for a given prediction horizon and estimate the prediction error and confidence.

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“…Such an improved security network brings a bright foreground for large data communications, i.e., the demand for the large data applications like IPTV, VoIP, and video conference has grown tremendously [5][6][7][8]. Meanwhile, research topic on secured communications has also received much attention in the past decade, and many works have been proposed to design robust and efficient schemes for delivering secured content delivery over error-prone networks [1,5,6,[9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A unified approach for detecting and eliminating selfish nodes in MANETs using TBUT

Kumar

Kathirvel²,

Kirubakaran

et al. 2015

J Wireless Com Network

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Recent years have witnessed the increasing efforts toward making architecture standardization for the secured wireless mobile ad hoc networks. In this scenario when a node actively utilizes the other node resources for communicating and refuses to help other nodes in their transmission or reception of data, it is called a selfish node. As the entire mobile ad hoc network (MANETs) depends on cooperation from neighboring nodes, it is very important to detect and eliminate selfish nodes from being part of the network. In this paper, token-based umpiring technique (TBUT) is proposed, where every node needs a token to participate in the network and the neighboring nodes act as umpire. This proposed TBUT is found to be very efficient with a reduced detection time and less overhead. The security analysis and experimental results have shown that TBUT is feasible for enhancing the security and network performance of real applications.

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Flooding-limited and multi-constrained QoS multicast routing based on the genetic algorithm for MANETs

Cited by 198 publications

References 18 publications

Fuzzy cost probability-based suppressed flooding multi-constrained QoS multicast routing for MANETs

Fuzzy cost probability-based suppressed flooding multi-constrained QoS multicast routing for MANETs

Predicting expected TCP throughput using genetic algorithm

A unified approach for detecting and eliminating selfish nodes in MANETs using TBUT

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