Dynamic multi-stage tandem queue modeling-based congestion adaptive routing for MANET

Amuthan, A.; Sreenath, N.; Boobalan, P.; Muthuraj, K.

doi:10.1016/j.aej.2017.03.026

Cited by 10 publications

(9 citation statements)

References 7 publications

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“…The proposed min-max scheduling for energy efficient load balancing has been simulated in the Network simulator -2 simulation tool and its performance under different parameters are examined. A comparative analysis of the proposed method with FF-AOMDV [10] and DTQCAR [14] takes place for the metrics: throughput, packet delivery ratio, delay, remaining energy and packet loss. Table 1 summarizes the simulation parameters and their values.…”

Section: Resultsmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

“…Dynamic multi-stage tandem queue modeling-based congestion adaptive routing (DTQCAR) [14] is introduced to improve the packet delivery ratio of the network besides unplanned network traffic. This adaptive routing identifies congestion, alerts the neighbors for handling network traffic for minimizing packet loss.…”

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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“…In 2017, Satheesh et al [31] have described the enhanced model for the secured transmission through the initiation of ACO-CBRP. [36] have executed the ZRP, which was a fusion based MANET protocol and it was simulated using hashing algorithm for data reliability and substantiation of the data that was being transmitted. The established scheme provides an advanced PDR and throughput; however at the cost of the higher e2e delay.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Various MANET authentication schemes are reviewed in this work as shown in Fig 1, which comprises [7], Timestamp method [8], GASMAN [9], Poissonization scheme [10], SUPERMAN [11], PCA [37], RIPsec [38], peer-to-peer model [44], HEAP [48] schemes. In addition, models like JATC scheme [12], Dempster-Shafer [14], SDRAC [16], IBBE scheme [5] [46], Trilateration Model [18], DSR [20], DTD method [21], Hashing Algorithm [28], Netpro [30], GS scheme [32], QASEC [33], BSG [35], DTQCAR [36], CLPKM [39], Tidal trust algorithm [47], E-voting protocol [54], NACK [58], LIPG [59], IDDIP [60] and Game theoretic Model [65] are also adopted in different contributions.…”

Section: Algorithmic Analysismentioning

confidence: 99%

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Contemporary Compendium of Conventions (CCC) in MANET

Chilveri,

Nagmode

2019

IJEAT

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Incessantly a self configuring network for mobile devices known as Mobile Ad hoc Network (MANET) are associated wirelessly .In significant networks, this design might perhaps enforce increased computational costs owing to the costly credentials chaining overheads that would not adapt for ad-hoc applications with increased nodes. Here a survey is carried out to express a view on the secure and authentic MANET systems. The literature reviewed is on different and diverse techniques of related to MANET systems. Reviews of 65 papers is presented and stated the significant analysis. At first the analysis depicts various attacks that are contributed in different papers. Subsequently ,various measures like security, cost, simulation time etc are also analyzed. It analyses the encryption method also that is exploited in each paper. This paper further gives an insight regarding the tools adapted ,chronological review and performance achievements in each case. At the end the review extended for the different research issues to investigate further research on secure and authentic MANET system

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A novel congestion control approach for optimal routing in Wireless Adhoc Networks

Kanthimathi

Prathuri

2022

Int J Communication

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Summary Congestion is a demanding issue in WANET owing to dynamic routing and resource constraints. Congestion controlling (CC) is a huge concern in attaining equality among e2e flow control and optimal utilization of network resources. In WANET, with distributed resources, if numerous senders compete for a similar bandwidth link, the data rates should be adjusted to avoid network overload that leads to compromises in QoS. This paper introduces a new routing approach with CC model that deployed MAODV for WANETs. Initially, the destination and source nodes are initialized, and subsequently, the MAODV find out the various routing path. Consequently, SGD‐DLNN recognizes all nodes' congestion status in revealed paths. Further, the MAODV assigns traffic in optimal congestion‐less paths if congestion occurs. Here, the black widow‐mutated cat swarm (BWM‐CS) model is deployed to choose the optimal paths based on traffic load density, life span of path, traffic load, remaining energy, link cost, and path distance. Eventually, the advantage of the suggested model is proven.

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Dynamic multi-stage tandem queue modeling-based congestion adaptive routing for MANET

Cited by 10 publications

References 7 publications

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

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

Contemporary Compendium of Conventions (CCC) in MANET

A novel congestion control approach for optimal routing in Wireless Adhoc Networks

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