MRGM: An Adaptive Mechanism for Congestion Control in Smart Vehicular Network

Shahi, Gurpreet Singh; Batth, Ranbir Singh; Egerton, Simon

doi:10.17762/ijcnis.v12i2.4684

Cited by 4 publications

(4 citation statements)

References 17 publications

(19 reference statements)

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“…Using δ, it estimates the scaling factors δα, δb, and δk, used to estimate RTTcurrent, RTTVARcurrent, and RTOcurrent, respectively. [14] measures RTT using a timestamp and determines the distance between CoAP, the requestor, and the responder using the Euclidean distance formula [31]. The distance between two nodes is determined using the node's coordinates (x, y) (either requestor or responder).…”

Section: Adcocoamentioning

confidence: 99%

“…Figure 5: AdCoCoA working mechanism (source: reference [11]) 3.14 Distance-based congestion control CoAP (DCC-CoAP) DCC-CoAP[14] measures RTT using a timestamp and determines the distance between CoAP, the requestor, and the responder using the Euclidean distance formula[31]. The distance between two nodes is determined using the node's coordinates (x, y) (either requestor or responder).…”

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confidence: 99%

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A Survey on Congestion Control Protocols for CoAP

Deshmukh¹,

Raisinghani²

2022

Int. j. commun. netw. inf. secur.

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The Internet of things (IoT) comprises things interconnected through the internet with unique identities. Congestion management is one of the most challenging tasks in networks. The Constrained Application Protocol (CoAP) is a low-footprint protocol designed for IoT networks and has been defined by IETF. In IoT networks, CoAP nodes have limited network and battery resources. The CoAP standard has an exponential backoff congestion control mechanism. This backoff mechanism may not be adequate for all IoT applications. The characteristics of each IoT application would be different. Further, the events such as unnecessary retransmissions and packet collision caused due to links with high losses and packet transmission errors may lead to network congestion. Various congestion handling algorithms for CoAP have been defined to enrich the performance of IoT applications. Our paper presents a comprehensive survey on the evolution of the congestion control mechanism used in IoT networks. We have classified the protocols into RTO-based, queue-monitoring, and rate-based. We review congestion avoidance protocols for CoAP networks and discuss directions for future work.

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Section: Adcocoamentioning

confidence: 99%

mentioning

confidence: 99%

A Survey on Congestion Control Protocols for CoAP

Deshmukh¹,

Raisinghani²

2022

Int. j. commun. netw. inf. secur.

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“…Disruptions caused by traffic often lead to recklessness. Exceeding the speed limit can be caused by a variety of factors, including practice, a sluggish beginning, both intentionally and unintentionally, competitiveness, road anger, and psychological concerns [3]. It is a well known fact that driving is a leading cause of youth-related traffic accidents, which results in several fatalities each day.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network

2023

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Fusion of internet of things (IoT) and artificial intelligence for smart cities has allowed structured policy making.In particular, traffic jam is one of the serious concern in metropolitan cities. In advanced countries, specific devices are installed to assemble flow of traffic. The state of traffic is streamed to commuters through network. This dependency on internet connection results in inappropriate solution in absence of stable physical infrastructure. The developing countries lack availability of internet on roadway and urban zones face even worst condition. This study proposes a smart framework to enable optimal path selection by communicating with neighbouring devices. The android smart phones serve the purpose of embedded sensors. A temporary network is created for smart transportation system. Data processing and cleaning were conducted on different routes of two urban cities. The proposed system is evaluated on conventional and proposed optimal path selection techniques. Computed results depict that travel times have been decreased to around 23.3% in comparison to conventional methods using MDSP algorithm.

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“…Meanwhile, non-safety applications are proposed to improve the driving convenience and passenger comfort. Such examples of nonsafety applications are traffic management system and congestion control [2]. The other applications are navigation system, nearby facilities information e.g.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Adaptive Hysteresis of RSS for Handover Decision in V2V VANET

Alam

Sulistyo

Mustika

et al. 2022

Int. j. commun. netw. inf. secur.

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A communication technology which enables the information exchanges between vehicles to support intelligent transportation system is the characteristic of vehicular ad hoc network (VANET). The vast applications of VANET including transportation safety, traffic management, and passenger amenities are also followed by some technical challenges. The rapid topology changes and high nodes mobility are the main source of the challenges. One of the prominent challenges is the handover decision, especially in vehicle to vehicle (V2V) communication. In this paper, handover decision method for V2V VANET is proposed using fuzzy system. The proposed method adjusts the value of received signal strength (RSS) hysteresis adaptively using fuzzy system so that the proposed handover decision method is called fuzzy adaptive hysteresis (FAH). To adjust the value of hysteresis, fuzzy system utilizes RSS value, speed difference, and connected time as the input. Based on the simulation results, the proposed method can reduce handover rate as well as maintaining the higher value of signal to noise ratio (SNR) average.

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MRGM: An Adaptive Mechanism for Congestion Control in Smart Vehicular Network

Cited by 4 publications

References 17 publications

A Survey on Congestion Control Protocols for CoAP

A Survey on Congestion Control Protocols for CoAP

Intelligent Urban Cities: Optimal Path Selection Based on Ad Hoc Network

Fuzzy Adaptive Hysteresis of RSS for Handover Decision in V2V VANET

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