Comparative Performance Evaluation of Image Descriptors Over IEEE 802.11b NoisyWireless Networks
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We evaluate the image retrieval procedure over an IEEE 802.11b Ad Hoc network, operating in 2.4GHz, using IEEE Distributed Coordination Function CSMA/CA as the multiple access scheme. IEEE 802.11 is a widely used network standard, implemented and supported by a variety of devices, such as desktops, laptops, notebooks, mobile phones etc., capable of providing a variety of different services, such as file transfer, internet access et.al. Therefore, we consider IEEE 802.11b being a suitable technology to investigate the case of conducting image retrieval over a wireless noisy channel. The model we use to simulate the noisy environment is based on the scenario in which the wireless network is located in an outdoor noisy environment, or in an indoor environment of partial LOS - Line-of-sight power. We used a large number of descriptors reported in literature in order to evaluate which one has the best performance in terms of Mean Average Precision - MAP values under those circumstances. Experimental results on known benchmarking database show that the majority of the descriptors appear to have decreased performance when transferred and used in such noisy environments.
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ViPMesh
1. ViPMesh is a virtual prototyping framework that allows for the emulation and simulation of IEEE 802.11s wireless mesh networks. It combines node emulation using QEMU with network simulation to evaluate applications and protocols for mesh networks.
2. The framework decouples wall clock time and simulation time to prevent host system performance from impacting the emulation/simulation. It models wireless channel effects, environmental factors, and device mobility.
3. Evaluation results demonstrate ViPMesh's ability to simulate different antenna configurations and modulation schemes, and show the impact of increasing distance on bit error rate. This validates the framework for analyzing mesh network protocols and applications.
Ijetcas14 518
Impact of Various Channel Coding Schemes on Performance Analysis of Subcarrier Intensity-Modulated Free Space Optical Communication System
A performance enhancement of physical layer at Wi-MAX system with RLDPC code
In present wireless communication network, the error correction codes plays the major role for efficient data transmission in noisy environments. To get minimum BER and PAPR has been the main aim towards the field in forward error control coding. Majority of the researchers has considered turbo codes at specific SNR over AWGN channel but have complexity issues with the iterative output decoder and causes degradation in the Wi-Max network system. In this paper, the author presents and evaluates WiMAX physical layer performance with using MIMO technologies, where a RobustLDPC technique of coding and decoding in OFDM based WiMAX system is considered. The decoding method of RLDPC has processed by Belief Propagation at the logarithmic domain in an iterative manner, the proposed methodology shows good decoding outcome for RLDPC codes at Rician and Rayleigh channel. Moreover, the applicability of our proposed model channel codes is defined under IEEE Wi-MAX standard and the results analysis is done under different code-rate and modulation schemes.
Ieee circuits systems
The document discusses the IEEE 802.11n amendment which aims to improve wireless LAN throughput and range over previous standards. It does this using multiple-input multiple-output (MIMO) technology with features like spatial multiplexing and transmit beamforming. The article describes the history of 802.11 standards, the development of 802.11n, the key MIMO techniques used, and simulation results showing improved throughput and range compared to older standards.
Comparative study of_digital_modulation (1)
This document compares different digital modulation techniques that can be used in orthogonal frequency division multiplexing (OFDM) and WiMAX networks. It simulates BPSK, QPSK, 16-QAM and 64-QAM modulation in MATLAB and measures their performance in terms of bit error rate and throughput. The results show that higher order modulations like 64-QAM provide much higher throughput but also higher bit error rates compared to lower order modulations at a given signal-to-noise ratio. The best configuration balances low bit error rates and high throughput.
Simulation of Wimax 802.16E Physical Layermodel
This document summarizes a simulation of the physical layer of WiMAX 802.16e. It describes the design of a WiMAX PHY layer transmitter and receiver model using MATLAB. The model uses 16-QAM modulation over OFDM with 256 subcarriers. Performance is analyzed by transmitting data over AWGN and Rayleigh fading channels and measuring bit loss and packet loss versus SNR and signal power. The results show that bit loss decreases with increasing SNR and decreasing signal power. A combination of SNR=13dB and signal power of 0.6W provided zero bit loss.
Chapter4[one.]
This chapter discusses the network layer, including:
1) The key functions of the network layer including forwarding, routing, and connection setup.
2) Network layer service models such as best effort, connection-oriented, and guaranteed services.
3) The differences between virtual circuit and datagram networks, and how routers implement virtual circuits using forwarding tables and connection state information.
H04011 04 5361
The document discusses techniques for constant bit rate video streaming over packet switching networks. It proposes adapting variable bit rate video to a constant bit rate by controlling the video encoder's output rate based on buffer level feedback. This allows transporting video over networks using constant bit rate channels while avoiding network congestion issues. The key techniques involve bit allocation to each coding unit based on buffer status, and adjusting encoder quantization parameters to encode units with the allocated bits. Simulation results show the approach maintains constant compression ratio and peak signal-to-noise ratio while varying group of picture size and quality settings.
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This document summarizes the performance evaluation of wired and wireless computer networks using the OMNeT++ simulation environment. The performance is evaluated based on throughput. For the wired network simulation, the Nclients application from INET is used, while the Wireless Host to Host application is used for the wireless network simulation. Throughput is measured for both networks by varying the data rate and number of clients. The results show that throughput from the wired server generally increases with more clients, while throughput from the wireless server is highest with a lower number of clients. Throughput to the server is observed to increase with data rate for both networks.
Multihop Routing In Camera Sensor Networks
This poster abstract summarizes an experimental study of multihop routing in camera sensor networks. The experiments tested the Collection Tree Protocol (CTP) using CITRIC camera motes and TelosB motes. The experiments varied payload size and delay between packet transmissions to evaluate data rate, reception rate, and latency over different hop counts. The results show that there is a tradeoff between reception rate and latency. Adding a delay between transmissions can improve both data rate and reception rate compared to best effort transmission. The optimal delay depends on the network density and hop count.
Multihop Routing In Camera Sensor Networks
This poster abstract summarizes an experimental study of multihop routing in camera sensor networks. The experiments tested the Collection Tree Protocol (CTP) using CITRIC camera motes and TelosB motes. The experiments varied payload size and delay between packet transmissions to evaluate data rate, reception rate, and latency over different hop counts. The results show that there is a tradeoff between reception rate and latency. Adding a delay between transmissions can improve both data rate and reception rate compared to best effort transmission. The optimal delay depends on the network density and hop count.
Performance analysis of IEEE 802.11ac based WLAN in wireless communication sy...
IEEE 802.11ac based wireless local area network (WLAN) is emerging WiFi standard at 5 GHz, it is new gigabit-per-second standard providing premium services. IEEE 802.11ac accomplishes its crude speed increment by pushing on three distinct measurements firstly is more channel holding, expanded from a maximum of 80 MHz up to 160 MHz modes. Secondly, the denser modulation, now using 256-QAM, it has the ability to increase the data rates up to 7 Gbps using an 8×8 multiple input multiple output (MIMO). Finally, it provides high resolution for both narrow and medium bandwidth channels. This work presents a study to improve the performance of IEEE 802.11ac based WLAN system.
A feasibility study on vehicle to-infrastructure communication wi fi vs. wimax
A feasibility study on vehicle to-infrastructure communication wi fi vs. wimaxMuhammad Waqas Khan Abbasi
This study evaluated the feasibility of using WiMAX compared to WiFi for vehicle-to-infrastructure (V2I) communication. Initial measurement results found that while WiMAX provided longer communication range than WiFi, it had significantly higher latency at short distances less than 100m. The study also found that WiMAX throughput was impacted by frame size settings, with larger frame sizes providing better throughput. Overall, WiFi may be better for applications requiring low latency over short distances, while WiMAX enables communication at longer ranges but with higher delays.International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
HH QUALCOMM ev-do - rev. b - enhanced mobile broadband for all
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- 2. Retrieval over noisy channel. Why?
- 6. Fading: Multiple copies of the same signal reach the receiver
- 10. IEEE 802.11 b, 11Mbps
- 11. 200 – 250 m distance between nodes
- 12. Transport protocol: UDP– User Datagram Protocol
- 13. BER values: 0, 0.001, 0.01, 0.1, 0.17
- 14. Descriptor is transferred between nodes
- 16. Retrieval scenario 1 – Simulation results MAP over different BER
- 18. IEEE 802.11 b, 11Mbps
- 19. 200 – 250 m distance between nodes
- 20. Transport protocol: UDP– User Datagram Protocol
- 21. BER values: 0, 0.001, 0.01, 0.1, 0.17
- 22. Image is transferred between nodes
- 24. Retrieval scenario 2 – Simulation results MAP over different BER
- 25. N – MAP descriptor values Tradeoff between a descriptor’s size and the degradation of its performance
- 26. Conclusions – Future work