Energy Efficiency Optimization for Mobile Ad Hoc Networks

Kuo, Wen-Kuang; Chu, Shu-Hsien

doi:10.1109/access.2016.2538269

Cited by 53 publications

(25 citation statements)

References 27 publications

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“…The increase in throughput of MBAA-MAC is as illustrated in figure 6. Experimental results obtained by Wen Kuang Kuo proves that radically different approach of CLD enables more precise adjustments to network conditions and fluctuation of link parameters [35]. CLD thus ensures energy efficiency of protocols by 7.87 times over the minimum hop count routing by reducing the detrimental effects of interference as depicted in figure 7 and as summarized in Table 3.…”

Section: Resultsmentioning

confidence: 85%

Paradigm Shift in Routing Approaches for High Speed MANET Applications

Inamdar

Babu²,

Yadahalli³

2017

EJERS

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Abstract-Effective routing protocol in ad hoc networks involves consideration of key factors like latency, mutual interference between on-going communication during route initiation, power consumption and effective re-routing process for unstable topology conditions in presence of node mobility. Recent ad hoc network applications involve quest for a high throughput, robustness and differentiated service awareness in the context of present 3G/4G and future 5G standards. This paper discusses the motivation for routing strategy with paradigm shift to meet the aspiration set forth under high traffic volume applications.

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Section: Resultsmentioning

confidence: 85%

Paradigm Shift in Routing Approaches for High Speed MANET Applications

Inamdar

Babu²,

Yadahalli³

2017

EJERS

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“…Due to the emergence of Information and Communication Technology, MANETs are capable of providing multimedia services, surveillance, health monitoring, and remote education, etc. [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Effect of Node Density over the performance of DSR, TORA, and OLSR Routing Protocols of MANET

Raza¹,

Soofi²,

Rehman³

et al. 2020

IJCA

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Mobile Ad-hoc Network (MANET) is a network of heterogeneous and homogeneous wireless mobile nodes to offer provisionally communication facilities to users for the exchange of data packets without having the well-established infrastructure in a limited geographical area. Resourceconstrained mobile nodes are not a permanent part of the network instead mobile nodes are individualistically can join or leave the network at any time. Network topology, connectivity of nodes and routing information change dynamically based on multi-hop routing. The main focus of this research work is to evaluate the performance of DSR, TORA reactive routing protocols and OLSR proactive routing protocol of MANET under augmentation of Nodes Density investigation based on Random Way Point (RWP) mobility model. DSR, TORA, and OLSR protocols are simulated by using OPNET modeler 14.5 by creating three different scenarios. These protocols are compared and analyzed with respect to Wireless LAN delay, Wireless LAN throughput, Wireless LAN network load, Routing traffic send and Routing traffic received.

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“…On the other hand, the reactive routing protocols are also known as on-demand routing protocols due to their on-demand manner for the route selection process. Some good examples of reactive routing protocols are dynamic source routing (DSR) [30] and ad hoc on-demand distance vector (AODV) [31]. Nodes running the reactive routing protocols do not need to maintain any prior routing information but exchange routing information of the network only when there is a need for communication.…”

Section: Introductionmentioning

confidence: 99%

Mobility, Residual Energy, and Link Quality Aware Multipath Routing in MANETs with Q-learning Algorithm

et al. 2019

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To facilitate connectivity to the internet, the easiest way to establish communication infrastructure in areas affected by natural disaster and in remote locations with intermittent cellular services and/or lack of Wi-Fi coverage is to deploy an end-to-end connection over Mobile Ad-hoc Networks (MANETs). However, the potentials of MANETs are yet to be fully realized as existing MANETs routing protocols still suffer some major technical drawback in the areas of mobility, link quality, and battery constraint of mobile nodes between the overlay connections. To address these problems, a routing scheme named Mobility, Residual energy and Link quality Aware Multipath (MRLAM) is proposed for routing in MANETs. The proposed scheme makes routing decisions by determining the optimal route with energy efficient nodes to maintain the stability, reliability, and lifetime of the network over a sustained period of time. The MRLAM scheme uses a Q-Learning algorithm for the selection of optimal intermediate nodes based on the available status of energy level, mobility, and link quality parameters, and then provides positive and negative reward values accordingly. The proposed routing scheme reduces energy cost by 33% and 23%, end to end delay by 15% and 10%, packet loss ratio by 30.76% and 24.59%, and convergence time by 16.49% and 11.34% approximately, compared with other well-known routing schemes such as Multipath Optimized Link State Routing protocol (MP-OLSR) and MP-OLSRv2, respectively. Overall, the acquired results indicate that the proposed MRLAM routing scheme significantly improves the overall performance of the network.

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Energy Efficiency Optimization for Mobile Ad Hoc Networks

Cited by 53 publications

References 27 publications

Paradigm Shift in Routing Approaches for High Speed MANET Applications

Paradigm Shift in Routing Approaches for High Speed MANET Applications

Effect of Node Density over the performance of DSR, TORA, and OLSR Routing Protocols of MANET

Mobility, Residual Energy, and Link Quality Aware Multipath Routing in MANETs with Q-learning Algorithm

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