Analysis Of Packets Delay In Wireless Data Networks (original) (raw)

Packet delay modeling of IEEE 802.11 Wireless LANs

2005

This paper presents a new analytical model for calculation of the average packet delay of the IEEE 802.11 Distributed Coordination Function assuming ideal channel conditions. The new model applies to both basic and Request-to-Send / Clear-to-Send access modes and is based on calculating the average delay of packets successfully transmitted after a specific number of collisions and the corresponding probability. Results indicate that the proposed model is more accurate than a model proposed in the literature that calculates the same components. The accuracy of another model presented in the literature that evaluates the time delay at each backoff stage is studied.

Service Modeling and Delay Analysis of Packet Delivery over a Wireless Link

arXiv (Cornell University), 2022

For delay analysis of packet delivery over a wireless link, several novel ideas are introduced. One is to construct an equivalent G/G/1 non-lossy queueing model to ease the analysis, enabled by exploiting empirical models of packet error rate, packet service time and packet loss rate obtained from measurement. The second is to exploit a classical queueing theory result to approximate the mean delay. For estimating the delay distribution, the newly developed stochastic network calculus (SNC) theory is made use of, forming the third idea. To enable this SNC based analysis, a stochastic service curve characterization of the link is introduced, relying on a packet service time model obtained from the empirical models. The focused link is a 802.15.4 wireless link. Extensive experimental investigation under a wide range of settings was conducted. The proposed ideas are validated with the experiment results. The validation confirms that the proposed approaches, integrating both empirical and analytical modes, are effective for service modeling and delay analysis. This suggests an integrated approach, now found previously, for quantitative understanding of the delay performance of packet delivery over a wireless link. Equvalent packet arrival Received packets

Characterization of Wireless Sensor Networks for Traffic & Delay

2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies, 2013

The sensor network is a collection of different sensor nodes. At a moments of information transfer in the sensor network. Data packets should be transmitted via different nodes to the sink node. Wireless sensor network have a Throughput, energy, Reliability, congestion and delay are the different quality of services or parameters. For the reliable data packets transmission in the network require reliability as well as less traffic or congestion in the network. To manage E to E delay or latency in the network requires control the transfer of data packet, path and traffic in the network. For reliable communication, packets will be sending from redundant path if there exists traffic problem. If in the network given huge amount of data packet to node then at that instance created many times traffic problem or congestion. so here improve all these problems. Delay problem solve the transmission problem. In this paper analyse & characterize the traffic and delay. This paper shows the better performance of routing protocols with comparisons & which protocol take a minimum delay with better Average Packet delivery Ratio(PDR) for reliable communication in wireless sensor network.

Performance Analysis of Delay in Wireless Sensor Networks

2012

A transport handles the congestion and reliability. In wireless sensor network (WSN), applications require a congestion control mechanism to regulate the large amount of traffic to inject within WSN to avoid packet loss and to assurance E2E reliable packet delivery. WSN researchers thus argue the presence of a transport layer for WSN similar to the Internet. Because of the resource constraint nature of sensor devices, researchers however admit that an Internet-scale transport layer will indeed be a matter of challenge. Invented story exposes detailed analysis of the requirements and constraints of a WSN transport layer. The advancements in microprocessor technology, high speed and large memories, high speed networks, Ultra Wide Band frequency spectrums, very efficient sensor network Operating Systems and miniaturization of many heterogeneous sensor devices, to name a few, have led to the development of many transport layer protocols. This seminar addresses the unique characteristics...

Delay and Delay Variation for Multimedia Traffic in WLAN 802.11: a Case Study of Network Simulator

International Journal of Engineering Research and, 2015

IEEE 802.11 WLAN has become a necessity nowadays in wireless communication and is widely used in intracampus scenarios. The common traffic transmitted in WLANs are multimedia applications such as VoIP, video streaming etc. To manage this traffic efficiently, access point used in WLAN implement one of the scheduling mechanisms such as FIFO, PQ, FQ etc. that handle how packets of related traffic are buffered while waiting to be transmitted. In the present work, network analysis for scheduling mechanisms used at the link with AP is presented with respect to delay and delay variation in packet transmission. The work is intended to give helpful insight as how to use ns-simulation for network analysis. It demonstrates about ns2.35, WLAN infrastructure mode scenario, control and data packet transmission between nodes (wired and wireless), results and post execution analysis.

Throughput and delay analysis of IEEE 802.11 protocol

2002

Wireless technologies in the LAN environment are becoming increasingly important. The IEEE 802.11 standard is the most mature technology for wireless local area networks (WLANs). The performance of the medium access control (MAC) layer, which consists of distributed coordination function (DCF) and point coordination function (PCF), has been examined over the past years. We present an analytical model to compute the saturated throughput of 802.11 protocol in the absence of hidden stations and transmission errors. A throughput analysis is carried out in order to study the performance of 802.11 DCF. Using the analytical model, we develop a frame delay analysis under traffic conditions that correspond to the maximum load that the network can support in stable conditions. The behaviour of the exponential backoff algorithm used in 802.11 is also examined.

Modeling delay and packet drop in networked control systems using network simulator NS2

International Journal of …, 2005

Wireless Networked Control Systems (WNCS) are used to implement a control mechanism over a wireless network that is capable of carrying real-time traffic. This field has drawn enormous attention from current researchers because of its flexibility and robustness. However, designing efficient WNCS over Mobile Ad Hoc Networks (MANET) is still a challenging topic because of its less-predictable aspects, such as inconsistent delay, packet drop probability, and dynamic topology. This paper presents design guidelines for WNCS over MANET using the Network Simulator version 2, NS2 software. It investigates the impact of packet delay and packet drop under the AODV and DSR routing protocols. The simulation results have been compared to MATLAB results for validation.

A NOVEL THROUGHPUT AND PACKET DELAY ANALYSIS OF CONTROL SCHEME BASED ON A MARKOV CHAIN MODEL IN DENSE IEEE 802.11 WLAN

Wireless computer network [1] that associates two or more devices using a wireless distribution method often using spread-spectrum or OFDM within a restricted area such as a campus or small building. The 802.11a is another PHY extension to the 802.11 standard. It operates at the frequency range of 5-GHz, it's unlicensed national infrastructure for information (UNII) band and it allows for data rates of 6–54 Mbps. The aim of this paper is to analysis the performance of IEEE 802.11 of throughput and packet delay by using two types of algorithms i.e., Constant contention window and Binary Exponential Back-off.

Delay distribution analysis of Wireless Personal Area Networks

2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012

Characterizing the network delay distribution is a fundamental step to properly compensate the delay of Networked Control Systems (NCSs). Due to the random backoff mechanism employed by Wireless Personal Area Network (WPAN) protocols, it is difficult to derive such a distribution. In this paper, the probability distribution of the delay for successfully received packets in WPANs is characterized. The analysis uses a moment generating function method based on an extended Markov chain model. The model considers the exponential backoff process with retry limits, acknowledgements, unsaturated traffic, and variable packet size, and gives an accurate explicit expression of the probability distribution of the network delay. The probability distribution of the delay is a function of the traffic load, number of nodes, and parameters of the communication protocol. Monte Carlo simulations validate the analysis for different network and protocol parameters. We show that the probability distribution of the delay is significantly different from existing network models used for NCS design. Furthermore, the parameters of the communication protocol result to be critical to stabilize control systems.