Energy-efficient stable routing using QoS monitoring agents in MANET

Palaniappan, Senthilnathan; Chellan, Kalaiarasan

doi:10.1186/s13638-014-0234-9

Cited by 41 publications

(21 citation statements)

References 21 publications

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“…In paper [9] the author proposed an energy efficient stable routing in which various link related metrics like "link expiration time (LET), probabilistic reliable time of the link (PLRT), link packet error rate (LPER), link received signal strength (LRSS) and remaining batter power (RBP)" are considered as input parameters. Fuzzy logic is used to calculate the probability for the route selection.…”

Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

C.,

2020

IJEAT

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Path stability of the mobile nodes in MANET plays a vital role in effective data dissemination as it depends on factors such as mobility, energy, signal strength. Several studies reveal that the prediction of path stability might provide solutions thereby routing performance can be increased. In most of the protocols route selection is based on metrics namely hop count, energy, etc. The metric namely mobility factor “MF” is used in some of the protocols. These protocols include nodes with less energy or nodes with high mobility which results in loss of path in a short period of time. Since it preserves the neighbor’s history, more control overhead and maintenance complexity exist. Hence, a new metric namely Active Interactive new Neighbor Rate (AINR) has been considered for optimum path selection. In scenarios of path loss, there is an immediate need for alternative paths for continuous data transfer. From literature it is evident that fuzzy logic is more significant in exploring different possible states under path stability determination. Hence a new prediction mechanism based on fuzzy logic has been proposed by considering the Residual Energy (RE), Hop count (Hop) and proposed metric Active Interactive new Neighbor Rate (AINR) as the factors for the prediction of the optimal path. This prediction mechanism is leveraged in MANET scenarios where alternate paths should be available on hand in situations such as battlefield and natural disaster. From the simulation, it has been proved that fuzzy logic prediction model provides better results in terms of various performance metrics such as Throughput, Packet delivery ratio, End-to-end delay, Energy consumption and routing overhead than the existing protocols.

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Section: Related Workmentioning

confidence: 99%

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

C.,

2020

IJEAT

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“…Therefore, that source nodes later route packets according to its type through suitable path. Similarly [15] uses Ants-based multi-QoS routing algorithm which rank paths using (loss ratio, available memory, queueing delay and remaining energy), Other work [16] apply AI technique for scoring paths, it uses link expiration time, probabilistic link reliable time, link packet error rate, link received signal strength and residual battery power to calculate score of each path using fuzzy logic. While this work [17] uses signal strength, re-maining energy and available memory to score each path, while in [18] uses drain rate and delay for scoring path, other cross layer protocol [19] uses energy level and free buffer space.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient and QoS Aware Framework for Video Transmission over Wireless Sensor Networks

Dien¹,

Youssif²,

Ghalwash³

2016

WSN

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Wireless Multimedia Sensor Networks (WMSNs), is a network of sensors, which are limited in terms of memory, computing, bandwidth, and battery lifetime. Multimedia transmission over WSN requires certain QoS guarantees such as huge amount of bandwidth, strict delay and lower loss ratio that makes transmitting multimedia is a complicated task. However, adopting cross-layer approach in WMSNs improves quality of service of WSN under different environmental conditions. In this work, an energy efficient and QoS aware framework for transmitting multimedia content over WSN (EQWSN) is presented, where packet, queue and path scheduling were introduced. It adapts the application layer parameter of video encoder to current wireless channel state, and drops less important packets in case of network congestion according to packet type. Finally, the path scheduling differentiates packets types/priority and route them through different paths with different QoS considering network lifetime. Simulation results show that the new scheme EQWSN transmits video quality with QoS guarantees in addition to prolonging network lifetime.

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“…MANET monitoring has been studied for many objectives like their performances [2], to test them [3], their security [4] and more recently their energetic efficiency [5].…”

Section: Related Workmentioning

confidence: 99%

MANETs monitoring with a distributed hybrid architecture

Álvarez

Maag

Zaïdi

2016

2016 IEEE 15th International Symposium on Network Computing and Applications (NCA)

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Monitoring techniques have been deeply studied in wired networks using gossip and hierarchical approaches. However, when applied to a MANET, several problematics arise. We present a hybrid distributed monitoring architecture for MANETs. We get inspired of gossip-based and hierarchicalbased algorithms for query dissemination and data aggregation. We define gossip-based mechanisms that help our virtual hierarchical topology to complete the data aggregation, and then ensure the stability and robustness of our approach in dynamic environments. We propose a fully distributed monitoring protocol that ease the nodes communications. We evaluate our approach by using NS3 and Docker.

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Energy-efficient stable routing using QoS monitoring agents in MANET

Cited by 41 publications

References 21 publications

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

Fuzzy Logic Based Path Stability Forecasting Scheme for Improving Data Dissemination in MANETs

Energy Efficient and QoS Aware Framework for Video Transmission over Wireless Sensor Networks

MANETs monitoring with a distributed hybrid architecture

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