A Fuzzy-Based Congestion Control Scheme for Vehicular Adhoc Network Communication

2021 ◽  
Vol 4 (1) ◽  
pp. 1-15
Author(s):  
Samuel Ibukun Olotu ◽  
Olumide Sunday Adewale ◽  
Bolanle Adefowoke Ojokoh
Keyword(s):  
Congestion Control ◽  
Ad Hoc ◽  
Power Transmission ◽  
Transmission Rate ◽  
Contention Window ◽  
Delivery Ratio ◽  
Self Organized ◽  
Traffic Scenario ◽  
Service Oriented ◽  
Parameter Values

Vehicular ad hoc network (VANET) is a self-organized, multi-purpose, service-oriented communication network that enables communication between vehicles and between vehicles and roadside infrastructures for the purpose of exchanging messages. In a dense traffic scenario, the message traffic may generate a load higher than the available capacity of the transmission medium leading to channel congestion problem. This situation leads to a rise in packet loss rates and transmission delay. Some existing congestion control schemes adapt the transmission power, transmission rate, and contention window parameters by making comparison with neighboring values through classical logic. However, the approach does not consider points between two close parameter values. This work uses fuzzy logic to improve the adaptation process of the network contention window parameter. The proposed scheme achieved a 15% higher in-packet delivery ratio and 10ms faster transmission compared with related work in terms end-to-end delay.

scholarly journals Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

2022 ◽  
Vol 12 (1) ◽  
pp. 497
Author(s):  
Hayder M. Amer ◽  
Ethar Abduljabbar Hadi ◽  
Lamyaa Ghaleb Shihab ◽  
Hawraa H. Al Mohammed ◽  
Mohammed J. Khami
Keyword(s):  
Ad Hoc Networks ◽  
Power Control ◽  
Congestion Control ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Wireless Channel ◽  
Contention Window ◽  
Internet Of Vehicles ◽  
Hybrid Power ◽  
Hoc Networks

Technology such as vehicular ad hoc networks can be used to enhance the convenience and safety of passenger and drivers. The vehicular ad hoc networks safety applications suffer from performance degradation due to channel congestion in high-density situations. In order to improve vehicular ad hoc networks reliability, performance, and safety, wireless channel congestion should be examined. Features of vehicular networks such as high transmission frequency, fast topology change, high mobility, high disconnection make the congestion control is a challenging task. In this paper, a new congestion control approach is proposed based on the concept of hybrid power control and contention window to ensure a reliable and safe communications architecture within the internet of vehicles network. The proposed approach performance is investigated using an urban scenario. Simulation results show that the network performance has been enhanced by using the hybrid developed strategy in terms of received messages, delay time, messages loss, data collision and congestion ratio.

Geometric sequence based multipath routing protocol for multi-hop ad hoc networks

2016 ◽  
Vol 12 (4) ◽  
pp. 394-407 ◽  
Author(s):  
Yahya M. Tashtoush ◽  
Mohammad A. Alsmirat ◽  
Tasneem Alghadi
Keyword(s):  
Routing Protocol ◽  
Ad Hoc ◽  
Performance Metrics ◽  
Transmission Rate ◽  
Multipath Routing ◽  
Delivery Ratio ◽  
Content Type ◽  
End To End Delay ◽  
Geometric Sequence ◽  
End To End

Purpose The purpose of this paper is to propose, a new multi-path routing protocol that distributes packets over the available paths between a sender and a receiver in a multi-hop ad hoc network. We call this protocol Geometric Sequence Based Multipath Routing Protocol (GMRP). Design/methodology/approach GMRP distributes packets according to the geometric sequence. GMRP is evaluated using GloMoSim simulator. The authors use packet delivery ratio and end-to-end delay as the comparison performance metrics. They also vary many network configuration parameters such as number of nodes, transmission rate, mobility speed and network area. Findings The simulation results show that GMRP reduces the average end-to-end delay by up to 49 per cent and increases the delivery ratio by up to 8 per cent. Originality/value This study is the first to propose to use of geometric sequence in the multipath routing approach.

scholarly journals Red Congestion Control with Energy Aware Auction Based Route Selection in MANET

2020 ◽  
Vol 8 (5) ◽  
pp. 1970-1974
Keyword(s):  
Congestion Control ◽  
Control Algorithm ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Transmission Delay ◽  
Delivery Ratio ◽  
Route Selection ◽  
Energy Aware ◽  
Packet Losses ◽  
Congestion Control Algorithm

Congestion is a very big issue in mobile ad hoc network. In MANET has various congestion control algorithm to solve this issue. RED algorithm is the one of the congestion control algorithm. It increasing buffer space of the queue and it reduce the packet loss and control transmission delay. In the proposed technique first fine out the energy aware auction based route selection then used the red algorithm to control the congestion. This techniques give a better result comparatively other techniques. Reduce the transmission delay so it increase the network throughput and avoid the packet losses and also give a better packet delivery ratio.

scholarly journals Performance Optimization of MANET Networks through Routing Protocol Analysis

Computers ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 2
Author(s):  
Tri Kuntoro Priyambodo ◽  
Danur Wijayanto ◽  
Made Santo Gitakarma
Keyword(s):  
Routing Protocol ◽  
Packet Loss ◽  
Performance Optimization ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Metrics ◽  
Delivery Ratio ◽  
Aodv Protocol ◽  
Parameter Values ◽  
Route Request

A Mobile Ad Hoc Network (MANET) protocol requires proper settings to perform data transmission optimally. To overcome this problem, it is necessary to select the correct routing protocol and use the routing protocol’s default parameter values. This study examined the effect of route request parameters, such as RREQ_RETRIES and MAX_RREQ_TIMOUT, on the Ad Hoc On-demand Distance Vector (AODV) protocol, which was then compared with the default AODV performance Optimized Link State Routing (OLSR) protocols. The performance metrics used for measuring performance were Packet Delivery Ratio (PDR), throughput, delay, packet loss, energy consumption, and routing overhead. The results show that the OLSR protocol has a smaller delay than the AODV protocol, while in other measurements, the AODV protocol is better than OLSR. By reducing the combination value of RREQ_RETRIES, MAX_RREQ_TIMEOUT in AODV routing to (2, 10 s) and (3, 5 s), the protocol’s performance can be improved. The two combinations result in an average increase in throughput performance of 3.09%, a decrease in delay of 17.7%, a decrease in packet loss of 27.15%, and an increase in PDR of 4.8%. For variations in the speed of movement of nodes, 20 m/s has the best performance, while 5 m/s has the worst performance.

scholarly journals A Congestion Control System Based on VANET for Small Length Roads

2018 ◽  
Vol 2 (1) ◽  
pp. 17-21 ◽  
Author(s):  
Ruchin Jain
Keyword(s):  
Congestion Control ◽  
Traffic Control ◽  
Ad Hoc ◽  
Control Unit ◽  
Daily Basis ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Vehicular Communication ◽  
The Road ◽  
Road Side Unit

As vehicle population has been increasing on a daily basis, this leads towards increased number of accidents. To overcome this issue, Vehicular Ad Hoc Network (VANET) has come up with lot of novel ideas such as vehicular communication, navigation and traffic controlling. In this study, the main focus is on congestion control at the intersections which result from unclear ahead. For this purpose, a city lane and intersection model has been proposed to manage vehicle mobility. It shows the actual vehicle to vehicle and vehicle to traffic infrastructure communication. The experiment was conducted using Network Simulator 2 (NS 2). The implementation required modelling the road side unit, traffic control unit, and on-board unit along the roadside. In the simulation, including traffic volume, the distance between two signals, end-to-end delay, packet delivery ratio, throughput and packet lost were taken into consideration. These parameters ensure efficient communication between the traffic signals. This results in improved congestion control and road safety, since the vehicles will be signalled not to enter the junction box and information about other vehicles.

scholarly journals 802.11p Profile Adaptive MAC Protocol for Non-Safety Messages on Vehicular Ad Hoc Networks

2018 ◽  
Vol 12 (1) ◽  
pp. 208
Author(s):  
Shamsul J Elias ◽  
M. Elshaikh ◽  
M. Yusof Darus ◽  
Jamaluddin Jasmis ◽  
Angela Amphawan
Keyword(s):  
Ad Hoc Networks ◽  
Congestion Control ◽  
Data Transmission ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Mac Protocol ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
Hoc Networks

<p>Vehicular Ad hoc Networks (VANET) play a vital Vehicle to Infrastructure (V2I) correspondence frameworks where vehicle are convey by communicating and conveying data transmitted among each other. Because of both high versatility and high unique network topology, congestion control should be executed distributedly. Optimizing the congestion control in term of delay rate, packet delivery ratio (PDR) and throughput could limit the activity of data packet transmissions. These have not been examined altogether so far – but rather this characteristic will be fundamental for VANET system execution and network system performance. This paper exhibits a novel strategy for congestion control and data transmission through Service Control Channel (SCH) in VANET. The Taguchi strategy has been connected in getting the optimize value of parameter for congstion control in highway environment. This idea lessens the pointless activity of data transmission and decreases the likelihood of congested in traffic in view of execution for measuring the delay rate, packet delivery ratio (PDR) and throughput. The proposed execution performance is estimated with the typical VANET environment in V2I topology in highway driving conditions and the simulation results demonstrate and enhance network execution performance with effective data transmission capacity.</p>

scholarly journals Intelligent CW Selection Mechanism Based on Q-Learning (MISQ)

2020 ◽  
Vol 25 (6) ◽  
pp. 803-811
Author(s):  
Nadia Zerguine ◽  
Mohammed Mostefai ◽  
Zibouda Aliouat ◽  
Yacine Slimani
Keyword(s):  
Ieee 802.11 ◽  
Performance Measures ◽  
Network Performance ◽  
Ad Hoc ◽  
Mac Protocol ◽  
Traffic Load ◽  
Contention Window ◽  
Delivery Ratio ◽  
Distributed Coordination ◽  
Q Learning

Mobile ad hoc networks (MANETs) consist of self-configured mobile wireless nodes capable of communicating with each other without any fixed infrastructure or centralized administration using the medium radio. Wireless technology is based on standard IEEE.802.11. The IEEE 802.11 Distributed Coordination Function (DCF) MAC layer uses the Binary Exponential Backoff (BEB) algorithm to deal with wireless network collisions. BEB is considered effective in reducing the probability of collisions but at the expense of numerous network performance measures, such as throughput and packets delivery ratio, mainly in high traffic load. Deep Reinforcement Learning (DRL) is a DL technique in which an agent can achieve a goal by interacting with the environment. In this paper, using one of the DRL models, we propose Q-learning (QL) to optimize MAC protocols' performance based on the contention window (CW) in MANETs. The intelligent proposed MISQ takes into account the number of packets to be transmitted and the collisions committed by each station to select the appropriate contention window. The performance of the proposed mechanism is evaluated by using in-depth simulations. The outputs indicate that the intelligent proposal mechanism learns various MANETS environments and optimizes performance over standard MAC protocol. The performance of MISQ is evaluated in various networks with throughput, channel access delay, and packets delivery rate as performance measures.

Node Cooperation to Avoid Early Congestion Detection Based on Cross-Layer for Wireless Ad Hoc Networks

2016 ◽  
Vol 6 (5) ◽  
pp. 2322
Author(s):  
Abdalrazak Tareq Rahem ◽  
Mahamod Ismail ◽  
Nor Fadzilah Abdullah ◽  
Mohammed Balfaqih
Keyword(s):  
Ad Hoc Networks ◽  
Congestion Control ◽  
Wireless Ad Hoc Networks ◽  
Network Performance ◽  
Ad Hoc ◽  
Effective Control ◽  
Cross Layer ◽  
Delivery Ratio ◽  
Node Cooperation ◽  
Hoc Networks

<p><span>The resent application of wireless ad hoc networks (WANET) demands a high and reliable data load. The simultaneous transfer of large amounts of data different nearby sources to nearby destinations in a massive network under these circumstances results in the possibility of network congestion. Congestion is an extremely unwanted condition because it creates extra overhead to the already deeply loaded environment, which ultimately leads to resource exhaustion, and can lead to packet drops and retransmission at either the MAC or upper layers. We present a lightweight congestion control and early avoidance congestion control scheme, which can effective control congestion while keeping overhead to a minimum. This scheme is based on the Cross-layer between the MAC and network layers lead to early detection of congestion. With the help of node cooperation the sender node is triggered to find an alternative route based on TMT. This mechanism controls the network resources rather than the data traffic. Detailed performance results show enhancement in the throughput and packet delivery ratio, as well as a reduction in packet drop. Generally, network performance increases.</span></p>

scholarly journals Congestion Control for Fault Tolerant Multicast Routing in MANET

2016 ◽  
Vol 15 (9) ◽  
pp. 7041-7048
Author(s):  
Channabasayya Mathad ◽  
Paramesha Paramesha ◽  
D Srinivasa Rao
Keyword(s):  
Congestion Control ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Multicast Routing ◽  
Fault Tolerant ◽  
Transmission Rate ◽  
Dynamic Network ◽  
Control Technique ◽  
Mobile Nodes

Mobile Ad hoc Network (MANET) is a collection of two or more devices or nodes or terminals with wireless communications and networking capability that communicate with each other without the aid of any centralized administrator a dynamic network consisting of several mobile nodes communicating wirelessly. MANET is an infrastructure less network and each member node is free to move in and out of the network in a random manner. Congestion may occur in any node when data packets travel from source to destination. Controlling congestion is critical to ensure adequate network operation and performance. Due to this mobile nature of the nodes in MANET, the possibility for the network to get congested is high. This may result in isolated nodes and reduced network performance. So in this paper, we proposed to develop a congestion control technique for fault tolerant multicast routing in MANET. In this technique, the congestion probability around the forwarding node is initially estimated and then according to the congestion level, the future transmission rates are adapted. The data transmission rate is varied dynamically to efficiently handle the congestion in the network. In this way, the network performance is enhanced.

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