scholarly journals Minimization of IEEE 802.11p Packet Collision Interference through Transmission Time Shifting

2020 ◽  
Vol 9 (2) ◽  
pp. 17 ◽  
Author(s):  
Martin Klapez ◽  
Carlo Augusto Grazia ◽  
Maurizio Casoni
Keyword(s):  
Packet Transmission ◽  
Transmission Time ◽  
Ieee 802.11P ◽  
Destructive Interference ◽  
Wireless Transceivers ◽  
Synchronization Mechanism ◽  
Delivery Probability ◽  
Packet Collision ◽  
Hidden Terminals ◽  
Wireless Medium

V2I communications are characterized by the presence of network nodes in vehicles and in the infrastructures that these vehicles use, as well as by the wireless interactions among them. Safety-related applications demand stringent requirements in terms of latency and packet delivery probability, especially when safety messages have to be delivered to vehicles by the infrastructure. Interference issues stem from the typical characteristics of wireless communications, i.e., the noise of the wireless medium, the limited communication range of the wireless entities, and the receiver passivity of all the conventional wireless transceivers during transmissions. This paper presents a synchronization mechanism to artificially replicate at a host premises destructive interference due to hidden terminals, together with an application-level technique to minimize that interference by shifting the packet transmission time, similarly to the MAC TDMA channel access method. As both have been field-tested, the paper also analyzes the results of these tests, all performed with real hardware on IEEE 802.11p over different frequencies and transmission powers, and with repeatability in mind. The resulting figures attest that interference effects due to hidden terminals may indeed take place on real IEEE 802.11p networks, and that carefully designed time-shifting mechanisms can actively mitigate them.

scholarly journals Secrecy Outage Probability and Fairness of Packet Transmission Time in a NOMA System

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 79637-79649
Author(s):  
Tung Pham Huu ◽  
Tam Ninh Thi-Thanh ◽  
Chi Nguyen-Yen ◽  
Hung Tran ◽  
Viet Nguyen Dinh ◽  
...  
Keyword(s):  
Outage Probability ◽  
Packet Transmission ◽  
Transmission Time ◽  
Secrecy Outage Probability ◽  
Secrecy Outage ◽  
Packet Transmission Time

Performance Analysis of IEEE 802.11p in the Presence of Hidden Terminals

2016 ◽  
Vol 89 (1) ◽  
pp. 61-78 ◽  
Author(s):  
Priyanka Rathee ◽  
Rishipal Singh ◽  
Sushil Kumar
Keyword(s):  
Performance Analysis ◽  
Ieee 802.11P ◽  
Hidden Terminals

scholarly journals Mobility Impact on MANET Routing Protocols In Grid Networks

2013 ◽  
Vol 11 (6) ◽  
pp. 2691-2702
Author(s):  
Mahmoud Mir Ali Al-Quzwini ◽  
Zeinab R. Khaleel
Keyword(s):  
Time Delay ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Network Size ◽  
Packet Transmission ◽  
Transmission Time ◽  
Mobile Nodes ◽  
Grid Networks ◽  
Manet Routing ◽  
Hoc Networks

Mobile Ad-Hoc Networks (MANETS) is a collection of wireless mobile nodes that are able to dynamically form a temporary network without any aid from fixed infrastructure or centralized administration due to no wired backbone.Ad Hoc networks are formed spontaneously and the nodes are highly mobile.Thispaper presents performance evaluations, comparisons, andanalysis for three routing protocols (AODV, DSR, and OLSR)to bring out their relative meritsundervarying network size and mobilitywith  various speed and pause times. The simulation is carried out using OMNET++ simulator based on the quantitative basic parameters like throughput, Packet transmission Ratio (PTR),packet transmission time delay and protocol overhead .The  nodes are distributed randomly in a grid network topology and mobile nodes moving using Random Waypoint mobility models. The results demonstrate that, undervarious node speeds and pause timesfor different network size, AODVoutperforms DSR and OLSR protocols, with respect to networkthroughput (by 0.9% and 4.4%, respectively). For protocoloverhead,DSR has lower overhead than both AODV and OLSR protocols (by 13.4% and 65.5%, respectively). In contrast, thepacket transmission time delay when using OLSR is shorter than whenusing both AODV (by 81.7%) and DSR (by 76.7%). 

scholarly journals MODIFIED PASSIVE AVAILABLE BANDWIDTH ESTIMATION IN IEEE 802.11 WLAN

2020 ◽  
Vol 19 (Number 4) ◽  
pp. 483-511
Author(s):  
Yoanes Bandung ◽  
Joshua Tanuraharja
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Ieee 802.11 ◽  
Packet Transmission ◽  
Collision Probability ◽  
Bandwidth Estimation ◽  
Available Bandwidth ◽  
Packet Collision ◽  
Available Bandwidth Estimation ◽  
Successful Packet

Quality of Service provisioning for real-time multimedia applications is largely determined by a network’s available bandwidth. Until now, there is no standard method for estimating bandwidth on wireless networks. Therefore, in this study, a mathematical model called Modified Passive Available Bandwidth Estimation (MPABE) was developed to estimate the available bandwidth passively on a Distributed Coordination Function (DCF) wireless network on the IEEE 802.11 protocol. The mathematical model developed was a modification of three existing mathematical models, namely Available Bandwidth Estimation (ABE), Cognitive Passive Estimation of Available Bandwidth V2 (cPEAB-V2), and Passive Available Bandwidth Estimation (PABE). The proposed mathematical model gave emphasis on what will be faced to estimate available bandwidth and will help in building strategies to estimate available bandwidth on IEEE 802.11. The developed mathematical model consisted of idle period synchronisation between sender and receiver, the overhead probability occurring in the Medium Access Control (MAC) layer, as well as the successful packet transmission probability. Successful packet transmission was influenced by three variables, namely the packet collision probability caused by a number of neighbouring nodes, the packet collision probability caused by traffic from hidden nodes, and the packet error probability. The proposed mathematical model was tested by comparing it with other relevant mathematical models. The performance of the four mathematical models was compared with the actual bandwidth. Using a series of experiments that have been performed, it was found that the proposed mathematical model is approximately 26% more accurate than ABE, 36% more accurate than cPEABV2, and 32% more accurate than PABE.

scholarly journals Adaptive uplink scheduling model for WiMAX network using evolutionary computing model

2019 ◽  
Vol 14 (3) ◽  
pp. 1345
Author(s):  
Mahesh D S ◽  
Chandramouli H ◽  
Sanjay R Chitnis
Keyword(s):  
Adaptive Modulation ◽  
Packet Transmission ◽  
Selection Scheme ◽  
Feedback Information ◽  
Uplink Scheduling ◽  
Packet Collision ◽  
Multi Objective Genetic Algorithm ◽  
High Bandwidth ◽  
Wimax Network ◽  
Qos Requirement

<span>the increased usage of smart phones has led to increase usage an internet based application services. These application requires different quality of service (QoS) and bandwidth requirement. WiMAX is an efficient network to provision high bandwidth connectivity and coverage to end user. To meet QoS requirement the exiting model used adaptive model selection scheme. However, these model induce bandwidth wastage as it does not considers any feedback information for scheduling. This work present an Adaptive Uplink Scheduling (AUS) by optimizing MAC layer using </span><span>Multi-Objective Genetic Algorithm</span><span> (MOGA). </span><span>The MAC scheduler use feedback information from both physical layer and application layer. Further, to meet QoS requirement of application and utilize bandwidth efficiently this paper presented an adaptive modulation selection scheme based on user application requirement using MOGA. Our model provides </span><span>application level based QoS provisioning for WiMAX network. Experiment are conducted to evaluate performance of AUS over exiting model. The overall result attained shows AUS model attain good performance in term of throughput, successful packet transmission and packet collision.</span>

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