Network coding with crowdsourcing-based trajectory estimation for vehicular networks

Li, Lingzhi; Yang, Zhe; Wang, Jin; Zhang, Shukui; Zhu, Yanqin

doi:10.1016/j.jnca.2016.02.001

Cited by 5 publications

(3 citation statements)

References 37 publications

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“…Vehicles access the VANET services when enters into the communication ranges of any other vehicles in the network [6]. VANETs are projected and expected to provide varieties of services like weather forecasting, advertisements, ecommerce, online game invitations, media uploading and media downloading.…”

Section: Introductionmentioning

confidence: 99%

A Delay and Energy Efficient Multicast Routing Protocol using IWO and MOLO Algorithm for Vehicular Networks

Prabavathi*¹,

Kavitha²,

Pradeep³

2019

IJITEE

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Vehicular networks are significantly improving wireless communication network which provides an intelligent transportation system services among faster moving vehicles with internet and brings safety and comfort drive. From a single source vehicle the multicast routing protocols delivers multicast messages to all members of the multicast group by means of multi-hop communication. Increasing the density of vehicles results in channel overload, which increases the probability of data collision; hence reduction in successful received data will increase the delay. Therefore, delay and energy consumption are the major constraints that should affect the performance of routing. In this paper we suggest a delay and energy efficient multicast routing (DEMR) protocol for vehicular network using a hybrid machine learning algorithm. The DEMR protocol consists of four layers; are vehicle layer, fog layer, OpenFlow switch layer, and SDN controller layer. Moreover, to partition the vehicle layer, and select the optimal multicast path based on multiple constraints improved weed optimization (IWO) algorithm is proposed. IWO algorithm separates the multicast request into emergency, common and police requests. We design a multi-objective lion optimization (MOLO) algorithm among fog nodes for resource management, which increases the utilization of resources in fog layer and decrease the response time of multicast session request. MOLO algorithm removes the unnecessary flow table and session table entries in the controller. The DEMR protocol is implemented in Network Simulator (NS3) tool and simulation results are compared with the protocols as EEMSFV, MABC, and CVLMS. From the simulation results we conclude that the DEMR algorithm is better than EEMSFV, MABC and CVLMS in terms of transmission ratio, overhead load, average end to end delay, packet loss ratio and, energy consumption.

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Section: Introductionmentioning

confidence: 99%

A Delay and Energy Efficient Multicast Routing Protocol using IWO and MOLO Algorithm for Vehicular Networks

Prabavathi*¹,

Kavitha²,

Pradeep³

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…In any case, as the size of the participating set increases, both plans offer similar dependability. Lingzhi Li et al [24] proposed a network coding with crowdsourcing -based trajectory estimation (NC/CTE) method for data transmission in VANET. Key p oints were pre-designated in the movement area.…”

mentioning

confidence: 99%

“…Being that only one relay is involved in the communication, the effects of the collision and idles lots on the network's performance can be ignored. Moreover, increased energy consumption, and decreased transmission security are the problems [21][22][23][24][25] in the existing works. The existing works contributions and their benefits and limitations are given in Table 1.…”

mentioning

confidence: 99%

An effective transmit packet coding with trust-based relay nodes in VANETs

et al. 2020

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Vehicular ad-hoc networks (VANETs) are characterized by limited network resources such as limited bandwidth and battery capacity. Hence, it is necessary that unnecessary use of network resources (such as unnecessary packet transfers) is reduced in such networks so that the available power can be conserved for efficient multicast communications. In this paper, we have presented a Transmit Packet Coding (TPC) Network Coding in VANET to ensure reliable and efficient multicasting. With network coding, the number of transmitted packets over the network can be reduced, ensuring efficient utilization of network devices and resources. Here, the trust-based graph optimization is performed using Cuckoo search algorithm to select the secure relay nodes. The experimental results showed the superiority of the presented approach compared to the existing techniques in terms of throughput, latency, hop delay, packet delivery ratio, network decoder outage probability, and block error rate.

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Navigation Route Based Stable Clustering for Vehicular Ad Hoc Networks

Yang

Chen

et al. 2018

Communications and Networking

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Network coding with crowdsourcing-based trajectory estimation for vehicular networks

Cited by 5 publications

References 37 publications

A Delay and Energy Efficient Multicast Routing Protocol using IWO and MOLO Algorithm for Vehicular Networks

A Delay and Energy Efficient Multicast Routing Protocol using IWO and MOLO Algorithm for Vehicular Networks

An effective transmit packet coding with trust-based relay nodes in VANETs

Navigation Route Based Stable Clustering for Vehicular Ad Hoc Networks

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