Biogeographic-Based Temporal Prediction of Link Stability in Mobile Ad Hoc Networks

Pal, Arindrajit; Dutta, Paramartha; Chakrabarti, Amlan; Singh, Jyoti; Sadhu, Shayak

doi:10.1007/s11277-018-6016-7

Cited by 14 publications

(6 citation statements)

References 23 publications

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“…Arindrajit Pal et al [29] proposed a method for stable link creation in this model the stability and location of neighbor nodes is observe as compare to other nodes in the network. The Auto Regressive Moving Average method is used for observation of the stable neighbors in the frame.…”

Section: Literature Surveymentioning

confidence: 99%

Multi-objective Based Route Selection Approach Using AOMDV in MANET

Saxena,

Dutta,

K.Singh

et al. 2023

SN COMPUT. SCI.

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Mobile ad hoc networks consist of mobile nodes in wireless mode. Because of ease deployment, low cost and easy communication, MANET has become one of the attractive research area in wireless communication. The challenging issues in MANET are limited energy of nodes, high mobility and dynamic topologies. These issues cause frequent link breakage due to this route discovery process reinitiated repeatedly. Many researchers gave their contribution for improving the existing protocols; still there are many scopes of improvements present. In this paper a novel routing algorithm MO-AOMDV (Multi Objective AOMDV) is proposed. In this algorithm route discovery and route selection is based on the quality of node and links, it denoted by G (V, L) where V present number of nodes and L present the link between nodes. In addition, every node has a local list where the remaining energy of node and list of neighbors is updated. It is developed and simulated in network simulator and the performance is compared with traditional AODV and AOMDV algorithm and comparing parameters are packet drop ratio, packet delivery ratio, and network lifetime.

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Section: Literature Surveymentioning

confidence: 99%

Multi-objective Based Route Selection Approach Using AOMDV in MANET

Saxena,

Dutta,

K.Singh

et al. 2023

SN COMPUT. SCI.

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“…The authors in [32] have developed a model with the optimal amount of error using the quadratic formula to estimate the link failure time by determining a time at which the transmitter-receiver pair under consideration will have reached their maximum communication range. In [33], a unique approach to constructing stable link networks has been presented by the authors, and it makes use of a model of temporal data processing. The model predicts the stable neighbors of each node in a future time frame based on the mobility and position of the nodes that are immediately adjacent to it which further uses a biogeographic-based optimization technique.…”

Section: Related Workmentioning

confidence: 99%

A Reliable DSR Protocol Using Link Availability Time Estimation for Wireless Ad hoc Networks

Malwe

Taneja

Kumar

2022

Preprint

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Dynamic topology and power-controlled lightweight mobile devices usually affect the performance of wireless ad hoc networks and have always been a major focus of research. Data transmission between a source-destination pair is governed by different types of routing protocols like proactive, reactive, hybrid, geographical, etc. Reactive routing techniques are highly preferred due to on-demand source-based routing with limited space requirements. The routing process should consider the link availability between the communicating nodes to get a stable route. If any two nodes along the route become unreachable, the communication could be interrupted. This could cause the receiver to lose data and experience longer delays. In this paper, we suggest a way to improve the existing DSR protocol. The focus is on choosing a stable route with less control overhead. During the route request phase, every participating node calculates its link availability time (LAT) for each adjacent link based on the current position of the neighbor and receiving signal strength. Links with lesser LATs than a threshold are not considered for route setup hence the flooding of control packets is reduced. Simulation has been performed over the basic DSR and proposed improvements over DSR in terms of control overhead, successful data transmission rate, and the number of route errors generated in the network. The findings show that previous knowledge of link availability during the routing phase aids in the discovery of more stable routes with lower control overhead, thereby promoting reliable data delivery and improving the overall network performance.

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“…A recent study [17] proposed a method to frame up a stable link network using a temporal data analysis model. In this model, the authors analyzed the mobility, position of neighbor nodes and used the statistical model auto regressive moving average (ARMA) to predict the stable neighbors of each node in a future time frame.…”

Section: Related Workmentioning

confidence: 99%

Mobility-prediction and energy optimization for multi-channel multi-interface ad hoc networks in the presence of location errors

Faouzi

Boutalline

2021

IJEECS

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We present a mobility-prediction and energy optimization solution for multi-channel multi-interface (MCMI) ad hoc networks in the presence of location errors. This solution includes routing of the MCMI communication links that adapt to dynamic channel, traffic conditions, interference and mobility of nodes. We start first with implementing a novel cross-layer routing solution in order to share information between network and MAC layer, the benefit of this technique is to collect information about the channel quality and residual energy of the nodes and send them directly to the network layer. Next, we present a mobility-prediction model using Kalman filter to predict accurate locations and enhance routing performance, through estimating link duration and selecting reliable routes. The performance of proposed mechanism is measured using NS2.35 simulations with different scenarios and varying load in a network. Comparative analysis of simulation results shows better performance of our protocol (ME-MCMI AODV) in terms of reducing end-to-end delay, total dropped packets and increasing network lifetime and packet delivery ratio (PDR).

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Biogeographic-Based Temporal Prediction of Link Stability in Mobile Ad Hoc Networks

Cited by 14 publications

References 23 publications

Multi-objective Based Route Selection Approach Using AOMDV in MANET

Multi-objective Based Route Selection Approach Using AOMDV in MANET

A Reliable DSR Protocol Using Link Availability Time Estimation for Wireless Ad hoc Networks

Mobility-prediction and energy optimization for multi-channel multi-interface ad hoc networks in the presence of location errors

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