A learning automata-based method for estimating the mobility model of nodes in Mobile Ad-Hoc NETworks

Jamalian, Amirhossein; Iraji, R.; Shalmani, Mohammad Taghi Manzuri

doi:10.1109/coginf.2008.4639175

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…A mobile Ad Hoc wireless network has been developed for a wide range of applications such as in emergency search and rescue operations, in battlefields, or in setting up instant communication among moving vehicles [1]. The mobile Ad Hoc network is typically a group of mobile users that communicates with each other over a wireless channel without a central control as depicted in Fig.1.…”

Section: Introductionmentioning

confidence: 99%

A new deterministic node mobility model using Logistic Map for mobile Ad Hoc wireless network

Veerawadtanapong

San-Um

2013

2013 5th International Conference on Knowledge and Smart Technology (KST)

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A deterministic node mobility model using Logistics map for mobile Ad Hoc wireless network is presented. Unlike conventional entity mobility models that realize probability distributions in stochastic processes, this paper presents a new deterministic classification of a source of randomness in Ad Hoc mobility movement patterns through the use of Logistic Map, which is a first-order discrete-time chaotic system. Node velocities and directions are defined by chaotic output values of Logistics Map. Simulation results include a comparison of node movement trajectories, random speed and direction of mobility nodes under particular control parameters, and an average speed. The proposed approach can be used to imitate real-world user movement pattern through controllable deterministic model.

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Section: Introductionmentioning

confidence: 99%

A new deterministic node mobility model using Logistic Map for mobile Ad Hoc wireless network

Veerawadtanapong

San-Um

2013

2013 5th International Conference on Knowledge and Smart Technology (KST)

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“…(2) Random waypoint mobility model (Randway): this model is equivalent to the random walk model except that the modification in speed and direction is done after predefined pause time [11]. (3) Reference point group mobility (RPGM): this mobility model represents the random motion of a group of nodes as well as the random motion of each individual node within the group [14]. Group movements are based upon the path traveled by the logical center for the group.…”

Section: Simulation and Performance Evaluation For Different Mobilitymentioning

confidence: 99%

Ant colony-based energy control routing protocol for mobile ad hoc networks under different node mobility models

Zhou

Tan

Deng

et al. 2016

J Wireless Com Network

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The energy of nodes is limited in mobile ad hoc networks(MANETs). In order to extend the network lifetime, how to select the best route is a critical issue for routing protocols in MANETs. In this work, we propose the ant colony-based energy control routing (ACECR) protocol to find an optimal route by using the positive feedback character of ant colony optimization (ACO). In our ACECR protocol, the routing choice depends on not only the number of hops between nodes and the node energy, but also the average and the minimum energy of the routes. The performance of our ACECR routing protocols is evaluated in different mobility models. In addition, we do extensive simulations to study the movement characteristics of different mobility models and their effect on routing protocols. Simulation results show that ACECR has a better performance in balanced energy consumption and a longer network lifetime compared with existing protocols.

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A new learning automaton for interaction with triple level environments

Jamalian

Rezvani

Shams

et al. 2012

2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing

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A learning automata-based method for estimating the mobility model of nodes in Mobile Ad-Hoc NETworks

Cited by 6 publications

References 17 publications

A new deterministic node mobility model using Logistic Map for mobile Ad Hoc wireless network

A new deterministic node mobility model using Logistic Map for mobile Ad Hoc wireless network

Ant colony-based energy control routing protocol for mobile ad hoc networks under different node mobility models

A new learning automaton for interaction with triple level environments

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