Smooth Mobility and Link Reliability-Based Optimized Link State Routing Scheme for MANETs

Li, Zhinan; Yue, Wu

doi:10.1109/lcomm.2017.2654439

Cited by 29 publications

(17 citation statements)

References 12 publications

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“…And due to node mobility there will be link breakage which leads to loss in data packets and energy in the network. In this proposed system to avoid link breakage as given in [18] we calculate the link life time of two nodes which will help in propoer data transfer to appropriate node in its transmission range. We consider speed of the nodes as four types such as high speed, idle speed, low speed and pause state which are represented as…”

Section: Mobolity Predictionmentioning

confidence: 99%

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Predicted Fitness Based Clustering Algorithm for Manets

Kalaiselvi¹,

Palaniammal²

2019

IJEAT

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Secure data delivery, mobility, link lifetime, energy consumption and delay are the most important parameters to be highly concentrated in the self-organised network named manets. Where in Manets the nodes move unpredictably in any direction with restricted battery life, resulting in frequent change in topology and due to mobility the trust in packet delivery will suffer inside the network. These constraints are studied broadly to ensure the secured data delivery and the lifetime of such networks. In this paper we propose a PFCA(Predicted fitness based clustering) algorithm using fitness value. The cluster heads are selected based on the fitness value of the nodes. Whereas the fitness value is calculated using the trust value, link lifetime for different type of node mobility and energy consumed and the clusters are formed using the PFCA clustering algorithm. The proposed PFC algorithm is experimented in the NS-2 network simulator and the results are compared with the existing PSO-clustering algorithm. The results show the effectiveness of our proposed algorithm in terms of network overhead, average number of clusters formed, average number of re-clustering required, delay and packet delivery ratio.

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Section: Mobolity Predictionmentioning

confidence: 99%

“…Based on the above defined parameters we can estimate the link lifetime in the following section as given in[18].…”

mentioning

confidence: 99%

Predicted Fitness Based Clustering Algorithm for Manets

Kalaiselvi¹,

Palaniammal²

2019

IJEAT

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“…In [13], the authors propose a novel smooth mobility and link reliability (LR) based optimized link state routing (OLSR) scheme for analyzing link reliability metrics in MANETs. However, LR metric presented by the authors does not consider the effect of varying a node's speed on mobility metric.…”

Section: Related Workmentioning

confidence: 99%

“…A volume of literature is available, which addresses link stability among the randomly deployed network nodes for effective communication in MANETs [4][5][6][7][8][9][10][11][12][13][14][15][16]. However, there are a number of shortcomings in the existing literature, in terms of calculating the optimum transmission rate of Hello message(s), transition rate estimation between connection and disconnection states, probabilities of connectivity and disconnectivity, and stability of neighboring nodes in terms of received signal strength (RSS) and signal-to-noise ratio (SNR) at different time steps of the Markov process.…”

Section: Introductionmentioning

confidence: 99%

A Novel Dynamic Link Connectivity Strategy Using Hello Messaging for Maintaining Link Stability in MANETs

Naushad

Abbas

et al. 2018

Wireless Communications and Mobile Computing

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Maintaining link stability among randomly deployed network nodes is one of the key challenges for effective communication in mobile ad hoc networks (MANETs). Under uniform speed and random trajectory of mobile nodes, there must be a unified model to determine an adequate strategy that addresses the issue of link stability in MANETs. We present a novel dynamic link connectivity (DLC) strategy that maintains link stability through efficient link connectivity among the neighboring nodes using Hello messaging. We also perform stochastic analysis of the proposed strategy, which predicts the future link status among the neighboring nodes at different time steps of a Markov process. We find that the link stability is affected by the received signal strength, signal-to-noise ratio, transition rates between the connection and disconnection states, and probabilities of link connectivity and disconnectivity at steady state. Analytical and simulation results indicate efficacy of the proposed strategy in terms of reduced communication overhead, lower propagation delay, and better energy efficiency of the network. The results also demonstrate that the proposed strategy minimizes the average response time, increases the throughput, and reduces the packet loss ratio, thereby, maintaining efficient link stability among the neighboring nodes.

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“…MANET is a peer-to-peer (p2p), a self-motivated, autonomous, multi-hop network [1] which performs operation by sharing their information among the network nodes [2]. These operations require competing nodes to participate in a trusted manner.…”

Section: Introductionmentioning

confidence: 99%

Mitigation of Blackhole Attack on MANETs using ABC and ANN Algorithm

Kharyal¹,

Krishna²

2019

IJITEE

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Mobile ad hoc network (MANET) is an important field of research that comprises of moveable nodes. These nodes communicate with each other through wireless links. Therefore, it becomes essential to design a secure network as it finds applications in different fields where data and communication are important like that in defense areas and disaster rescue operations. This paper focuses on detecting Blackhole nodes in MANETs and preventing it from the same. In this work, Ad hoc On-Demand Distance Vector (AODV) is employed as a routing mechanism and a secure network is established using Artificial Bee Colony (ABC) algorithm as an optimization technique in combination with Artificial Neural Network (ANN) as a classification algorithm to identify the Blackhole nodes. Simulations are carried out in MATLAB and the efficiency of the network in terms of Throughput, Packet Delivery Ratio (PDR), End-to-End Delay and Energy Consumption are measured. Throughput and PDR have been increased by 11.11%, 4.9 %, whereas end- to- end delay has been reduced by 4.93% as compared to existing work proposed by Ashish et al.[6].

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Smooth Mobility and Link Reliability-Based Optimized Link State Routing Scheme for MANETs

Cited by 29 publications

References 12 publications

Predicted Fitness Based Clustering Algorithm for Manets

Predicted Fitness Based Clustering Algorithm for Manets

A Novel Dynamic Link Connectivity Strategy Using Hello Messaging for Maintaining Link Stability in MANETs

Mitigation of Blackhole Attack on MANETs using ABC and ANN Algorithm

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