A Stable and Energy-Efficient Routing Algorithm Based on Learning Automata Theory for MANET

Sheng, Hao; Zhang, Huyin; Song, Mengkai

doi:10.1007/s41650-018-0012-7

Cited by 43 publications

(31 citation statements)

References 25 publications

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“…In recent years, the energy-saving research direction for MANETs based on the approach has been interested in research and achieved some positive results [20][21][22][23][24][25]. Accordingly, the specific purpose of this approach is to balance the energy of all network devices by choosing a route with energy-rich nodes rather than the shortest one.…”

Section: Related Workmentioning

confidence: 99%

An Energy-Efficient Routing Protocol for MANET in Internet of Things Environment

Ngoc²

2021

Int. J. Onl. Eng.

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MANET-IoT networks are currently being focus developed and expected to become popular in next-generation mobile networks due to their simplicity and efficiency in solving real problems in a wide range of areas such as smart agriculture, smart health care, intelligent traffic, military, entertainment, and smart cities. Because of the nature of mobile network nodes, saving energy for MANET is always a complicated problem. In this paper, we proposed a saving energy routing protocol that uses an integrated routing metric from hops number and remaining energy metrics for decision-making to selects a fit route. Besides, we evaluate the performance of the proposed protocol on NS2 simulation software. Simulation results demonstrated the proposed protocol improves the network lifetime and network performance parameters compared to traditional protocols.

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Section: Related Workmentioning

confidence: 99%

An Energy-Efficient Routing Protocol for MANET in Internet of Things Environment

Ngoc²

2021

Int. J. Onl. Eng.

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“…[ S. Hao, H. Zhang and M. Song, 2018 ] In order to avoid black hole and wormhole attack, S. Hao, H. Zhang and M. Song (2018 ) [15] use connexion rating schemes. They all rely on authenticated data packet identification to score links: if there is a connexion that loses packets, the recognitions will not pass; in the future the connexion is assessed as poor and prevented.…”

Section: Research Articlementioning

confidence: 99%

Evaluation of Trust Algorithm in a Mobile Ad-Hoc Network Using Artificial Engineering

Kowsalya¹

2021

TURCOMAT

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A MANET network is made up of wireless nodes which operate without a defined structure, the arrangement of existing devices does not have any ministerial or control entity . the management tasks are carried out by the teams which are in the network, therefore a MANET network is said to be a managed network. As there is no infrastructure, such as, the bandwidth, availability, input error rate, among others, depend exclusively on the behaviour of the network users. This work presents a functional solution, which decreases the energy consumption in MANET networks, implemented using game theories and genetic algorithms solution. The evaluation of the pay-as-you-go strategy from the modified prisoner dilemma was shown to be an easy to implement and interpret tool for the network equipment. The processes of generation, combination and mutation of strategies demonstrated the in-centive of cooperation in the network, observed in the increase of the average confidence of the nodes, a very high value. The intervention of the protocol with the use of genetic algorithms, demonstrated ot be a form of implementation of solutions for problems of multiple agents, the increase in the evaluation of trust of the nodes was observed, which can be interpreted as a convergence of the nodes to cooperate. The results obtained in the simulations carried out show the functioning of the algorithm implemented and the functionality of the network after its implementation.

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“…Learning automata (LA) based route selection process is introduced in [16] for improving the service quality of MANETs. The feedback mechanism of LA helps the source node to discover optimal routes satisfying energy, link stability, and delay factors.…”

Section: Related Workmentioning

confidence: 99%

A Min-Max Scheduling Load Balanced Approach to Enhance Energy Efficiency and Performance of Mobile ADHOC Networks

Venkatachalapathy

Sundaranarayana²

2019

SSRN Journal

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Energy efficiency and traffic management in Mobile Ad hoc Networks (MANETs) is a complex process due to the self-organizing nature of the nodes. Quality of service (QoS) of the network is achieved by addressing the issues concerned with load handling and energy conservation. This manuscript proposes a min-max scheduling (M2S) algorithm for energy efficiency and load balancing (LB) in MANETs. The algorithm operates in two phases: neighbor selection and load balancing. In state selection, the transmission of the node is altered based on its energy and packet delivery factor. In the load balancing phase, the selected nodes are induced by queuing and scheduling the process to improve the rate of load dissemination. The different processes are intended to improve the packet delivery factor (PDF) by selecting appropriate node transmission states. The transmission states of the nodes are classified through periodic remaining energy update; the queuing and scheduling process is dynamically adjusted with energy consideration. A weight-based normalized function eases neighbor selection by determining the most precise neighbor that satisfies transmission and energy constraints. The results of the proposed M2SLB (Min-Max Scheduling Load Balancing) proves the consistency of the proposed algorithm by improving the network throughput, packet delivery ratio and minimizing delay and packet loss by retaining higher remaining energy.

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A Stable and Energy-Efficient Routing Algorithm Based on Learning Automata Theory for MANET

Cited by 43 publications

References 25 publications

An Energy-Efficient Routing Protocol for MANET in Internet of Things Environment

An Energy-Efficient Routing Protocol for MANET in Internet of Things Environment

Evaluation of Trust Algorithm in a Mobile Ad-Hoc Network Using Artificial Engineering

A Min-Max Scheduling Load Balanced Approach to Enhance Energy Efficiency and Performance of Mobile ADHOC Networks

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