Advanced Congestion Control Techniques for MANET

Sirajuddin, Mohammad; Rupa, Ch.; Prasad, Ande

doi:10.1007/978-81-322-2755-7_28

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…Here, Wq is the queue weight and is a constant (Wq � 0.002 from RED, Floyd, 1997) and Instant_queue is instantaneous queue size [1]. QS � Instant queue − Avg queuenew.…”

Section: Routing By Handling Congestionmentioning

confidence: 99%

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TBSMR: A Trust-Based Secure Multipath Routing Protocol for Enhancing the QoS of the Mobile Ad Hoc Network

Sirajuddin

Rupa

Iwendi

et al. 2021

Security and Communication Networks

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Mobile ad hoc network (MANET) is a miscellany of versatile nodes that communicate without any fixed physical framework. MANETs gained popularity due to various notable features like dynamic topology, rapid setup, multihop data transmission, and so on. These prominent features make MANETs suitable for many real-time applications like environmental monitoring, disaster management, and covert and combat operations. Moreover, MANETs can also be integrated with emerging technologies like cloud computing, IoT, and machine learning algorithms to achieve the vision of Industry 4.0. All MANET-based sensitive real-time applications require secure and reliable data transmission that must meet the required QoS. In MANET, achieving secure and energy-efficient data transmission is a challenging task. To accomplish such challenging objectives, it is necessary to design a secure routing protocol that enhances the MANET’s QoS. In this paper, we proposed a trust-based multipath routing protocol called TBSMR to enhance the MANET’s overall performance. The main strength of the proposed protocol is that it considers multiple factors like congestion control, packet loss reduction, malicious node detection, and secure data transmission to intensify the MANET’s QoS. The performance of the proposed protocol is analyzed through the simulation in NS2. Our simulation results justify that the proposed routing protocol exhibits superior performance than the existing approaches.

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“…Here, Wq is the queue weight and is a constant (Wq � 0.002 from RED, Floyd, 1997) and Instant_queue is instantaneous queue size [1]. QS � Instant queue − Avg queuenew.…”

Section: Routing By Handling Congestionmentioning

confidence: 99%

“…MANETs have many striking features like varying topology, rapid setup, and multihop wireless communication. All these features make MANET suitable for various time-sensitive applications [1,2]. Ad hoc network renders a promising communication facility where physical infrastructure is difficult to establish.…”

Section: Introductionmentioning

confidence: 99%

TBSMR: A Trust-Based Secure Multipath Routing Protocol for Enhancing the QoS of the Mobile Ad Hoc Network

Sirajuddin

Rupa

Iwendi

et al. 2021

Security and Communication Networks

Self Cite

View full text Add to dashboard Cite

show abstract

“…Ajay Kumar Yadav and others (2015) proposed a stable multicast transmission protocol flow capacity to reduce system overhead and increase the life of the entire network [6]. Sirajuddin et al (2013) proposed a TCP-based congestion control strategy in a mobile ad hoc network, using different congestion technologies, and using a dynamic algorithm ADV-CC (Ad-hoc Distance Vector with Congestion Control) congestion control scheme to improve network performance, but adding one difficulty is to propose a cross-layer adaptive transmission method that minimizes network performance congestion based on performance indicators and avoids data packet loss in the network [7]. Bhavna Sharma et al (2014) proposed a load balancing method to improve the performance of multi-path routing, which can increase the transmission routines during the limited network life cycle, but at the same time it will increase the energy consumption of the network [8].…”

Section: Introductionmentioning

confidence: 99%

Improvement and Implementation of an Adaptive Congestion DSR Routing Algorithm on Chip

Lee

et al. 2023

Preprint

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A classic routing protocol Dynamic Source Routing (DSR) can quickly establish a routing path but it is prone to cause a congestion and load unbalance under a presence of high amount of traffic. To improve the performance of DSR in large data networks and to solve various problems caused by network congestion, an improved DSR(DSR-p) is proposed. DSR-p has the congestion control ability by using Hello messages to find out the congestion status of links and establishing a ``bypass“ based on the congestion status. In addition, a congestion parameter γ is introduced to define the status of a link, whether the link is congested(red) or not(green).Simulations with Truetime, a network simulation library,were performed to evaluate the performance of DSR-p. The simulation results show that the DRS-p can effectively improve packet delivery rate (PDR) and reduce end-to-end delay (ED), routing overhead (EO) and energy consumption. Furthermore, the experimental tests were conducted with Telos B Mote TPR2420 on TinyOS platform. The test results demonstrate DSR-p outperforms DSR on PDR performance as the amount of transmitted data is larger, increasing by 5.6% as the packet sending rate reaches 900 packets/h. Therefore, both simulation and experimental results prove that the proposed DSR-p performs more efficiently than the conventional DSR.

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“…There are two types of routing: first is the traditional routing that is used at the time of network creation, as discussed in [14,15], where various techniques are implemented, typically based on flooding. This technique is easy and simple to implement, but it has a critical issue large communication overhead.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Virtual Cord Protocol Based Multi-Casting Strategy for the Effective and Efficient Management of Mobile Ad Hoc Networks

et al. 2023

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To solve problems with limited resources such as power, storage, bandwidth, and connectivity, efficient and effective data management solutions are needed. It is believed that the most successful algorithms for circumventing these constraints are those that self-organise and collaborate. To make the best use of available bandwidth, mobile ad hoc networks (MANETs) employ the strategy of multi-casting. The communication cost of any network can be significantly reduced by multi-casting, and the network can save resources by transmitting only one set of data to numerous receivers at a time. In this study, we implemented multi-casting in the virtual cord protocol (VCP), which uses virtual coordinates (VC) to improve effective routing and control wireless data transmission. We have improved the classic VCP protocol by making it so that intermediate nodes can also forward or re-transmit the dataset to interested nodes. This improves data transmission from the sender to multiple receivers. Simulation results proved efficacy of our proposed enhanced virtual cord protocol-based multi-casting strategy over traditional VCP protocol and helped in reduction of number of MAC transmissions, minimization of end-to-end delay, and maximization of packet delivery ratio.

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Advanced Congestion Control Techniques for MANET

Cited by 9 publications

References 8 publications

TBSMR: A Trust-Based Secure Multipath Routing Protocol for Enhancing the QoS of the Mobile Ad Hoc Network

TBSMR: A Trust-Based Secure Multipath Routing Protocol for Enhancing the QoS of the Mobile Ad Hoc Network

Improvement and Implementation of an Adaptive Congestion DSR Routing Algorithm on Chip

An Enhanced Virtual Cord Protocol Based Multi-Casting Strategy for the Effective and Efficient Management of Mobile Ad Hoc Networks

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