A novel method for multipath routing using cross layer approach in vehicular adhoc networks

Bhagyavathi, M.; Saritha, V.; Krishna, P. Venkata

doi:10.1002/dac.3254

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…The method of selecting neighboring nodes set is also discussed in this work. A cross-layer multi-path routing (CLMR) protocol among application, network, media access control (MAC), and the physical layer was proposed [ 129 ]. Redundant array inexpensive disks (RAID) technology is utilized to minimize the retransmissions.…”

Section: Mutipath Routing In Vehicular Networkmentioning

confidence: 99%

A Brief Review of Multipath TCP for Vehicular Networks

Chao

Yoshinaga

et al. 2021

Sensors

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Multipath TCP (MPTCP) is one of the most important extensions to TCP that enables the use of multiple paths in data transmissions for a TCP connection. In MPTCP, the end hosts transmit data across a number of TCP subflows simultaneously on one connection. MPTCP can sufficiently utilize the bandwidth resources to improve the transmission efficiency while providing TCP fairness to other TCP connections. Meanwhile, it also offers resilience due to multipath data transfers. MPTCP attracts tremendous attention from the academic and industry field due to the explosive data growth in recent times and limited network bandwidth for each single available communication interface. The vehicular Internet-of-Things systems, such as cooperative autonomous driving, require reliable high speed data transmission and robustness. MPTCP could be a promising approach to solve these challenges. In this paper, we first conduct a brief survey of existing MPTCP studies and give a brief overview to multipath routing. Then we discuss the significance technical challenges in applying MPTCP for vehicular networks and point out future research directions.

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Section: Mutipath Routing In Vehicular Networkmentioning

confidence: 99%

A Brief Review of Multipath TCP for Vehicular Networks

Chao

Yoshinaga

et al. 2021

Sensors

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“…Then, the 802.11 MAC will retransmit a packet whose transmission was not successful. The calculation of P is given by Equation 5.…”

Section: Quality Of Service-based Routing Protocol For Wmnsmentioning

confidence: 99%

“…In the past, extensive routing protocols and resource management algorithms have been proposed for mobile ad hoc networks, wireless sensor networks, vehicular ad hoc networks, and body area networks. The authors in Bhagyavathi et al and Misra et al present a work on routing protocol for vehicular ad hoc network. In Misra et al, the authors present a work on medium access control mechanism for heterogeneous networks.…”

Section: Related Workmentioning

confidence: 99%

Cluster‐based mobility management algorithms for wireless mesh networks

Rao

Subramanyam²,

Prasad

2018

Int J Communication

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Summary Wireless mesh networks (WMNs) have been the recent advancements and attracting more academicians and industrialists for their seamless connectivity to the internet. Radio resource is one among the prime resources in wireless networks, which is expected to use in an efficient way especially when the mobile nodes are on move. However, providing guaranteed quality of service to the mobile nodes in the network is a challenging issue. To accomplish this, we propose 2 clustering algorithms, namely, static clustering algorithm for WMNs and dynamic clustering algorithm for WMNs. In these algorithms, we propose a new weight‐based cluster head and cluster member selection process for the formation of clusters. The weight of the nodes in WMN is computed considering the parameters include the bandwidth of the node, the degree of node connectivity, and node cooperation factor. Further, we also propose enhanced quality of service enabled routing protocol for WMNs considering the delay, bandwidth, hopcount, and expected transmission count are the routing metrics. The performance of the proposed clustering algorithms and routing protocol are analyzed, and results show high throughput, high packet delivery ratio, and low communication cost compared with the existing baseline mobility management algorithms and routing protocols.

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