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Performance Comparison of Three Location Service Algorithms for Vehicular Ad Hoc Networks Wan Chih Chang

Outline ,[object Object],[object Object],[object Object]

DREAM Homezone ,[object Object],[object Object],[object Object],[object Object],[object Object]

Grid Location Service (GLS) ,[object Object],[object Object],[object Object]

Hierarchy Location Service (HLS) ,[object Object],[object Object],[object Object],[object Object]

Intersection Location Service (ILS) ,[object Object],[object Object],[object Object],[object Object]

Dynamic Operation and Failure Recovery ,[object Object],[object Object]

First Simulation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Second Simulation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Third Simulation ,[object Object],[object Object],[object Object]

Number of cars 80 Mean velocity (m/s) 10, 20, 30,40

Large Scale Simulations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

The area size varying from 900x900 m 2 to 1350x1350 m 2 and 1800x1800 m 2

Conclusion ,[object Object],[object Object],[object Object]

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In this paper the effect of window shape parameter „α‟ in Kaiser-Hamming and Cosh-Hamming window functions on the signal to noise ratio (SNR) values of the Indian Mesosphere-Stratosphere-Troposphere (MST) radar is computed. The six parts of multibeam observations of the lower atmosphere made by the MST radar are utilized for the analysis of results. Prior to the Fourier transformation, the in-phase and quadrature components of radar echo samples are weighted with proposed windows based on the Kaiser-Hamming and Cosh-Hamming Window functions. The effects of data weighting with the change of the window shape parameter „α‟ of the Kaiser-Hamming and Cosh-Hamming Window functions are given in it. It is noted that the increase of variable window shape parameter „α‟ increases the signal to noise ratio values and a better improvement is reported. For Kaiser-Hamming and Cosh-Hamming Window functions are proposed to analyze the MST radar return signals to obtain optimum values of the window shape parameter. The results shows the improvement of signal to noise ratio of noisy data due to the effect of side lobe reduction and demands for the design of the optimal window functions.

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Mobile ad hoc network is a collection of wireless nodes that are communicate other nodes (router) without using access point, infrastructure . Mobile ad-hoc network is an autonomous system that means no need for depaentd other nodes it have own capability to handle and controlling all funcitionlity, to sending and receiving all information form one device to other device. MANET has power full feature that controlling itself by dynamic nature, multihop,low power and configuration of the system. In this paper we analyzing, simulation and implements the TC messages and HELLO Message by MPR of OLSR routing performance checked at 200 nodes on Qualnet 5.0.2 simulator. In Qualnet simulator to simulate and implement the performance of OLSR routing protocols takes various performance metrics like hello message sent (HMS) , hello message received (HMR), TC message generated (TCMG), TC message replied (TCMR), TC messages received on Constant Bit Rate (CBR) using random waypoint model. In this paper check the performance OLSR routing protocol gives effective performance for lage networks.

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In this paper, we propose a new adaptive filtering algorithm for system identification. The algorithm is based on the recursive inverse (RI) adaptive algorithm which suffers from low convergence rates in some applications; i.e., the eigenvalue spread of the autocorrelation matrix is relatively high. The proposed algorithm applies discrete-wavelet transform (DWT) to the input signal which, in turn, helps to overcome the low convergence rate of the RI algorithm with relatively small step-size(s). Different scenarios has been investigated in different noise environments in system identification setting. Experiments demonstrate the advantages of the proposed DWT recursive inverse (DWT-RI) filter in terms of convergence rate and mean-square-error (MSE) compared to the RI, discrete cosine transform LMS (DCT-LMS), discretewavelet transform LMS (DWT-LMS) and recursive-least-squares (RLS) algorithms under same conditions.

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Mobile Ad Hoc Networks (MANETs) are wireless networks, where there is no requirement for any infrastructure support to transfer data packets between mobile nodes. These nodes communicate in a multi-hop mode; each mobile node acts both as a host and router. The main job of Quality of Service (QoS)[1][2] routing in MANETs is to search and establish routes among different mobile nodes for satisfying QoS requirements of wireless sensor networks as PDR, Average end-to-end delay, Average Throughput. The QoS routing protocols efficient for commercial, real-time and multimedia applications are in demand for day to day activities[2].

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IEEE802.11e standard provides an EDCA mechanism to ensure the QoS using service differentiation function for IMM traffics through the WCN. In an EDCA mechanism, IMM traffics have been classified into four categories and each category has specific priority. Many EDCA schedulers allow these traffics to access the channel based on assigned priorities. The IMM high priority traffic is high delay sensitive and required high bandwidth to ensure QoS over the networks. Scheduling mechanism is the effective way to satisfy IMM traffic but it cannot give guarantee because of the randomness of some EDCA schedulers or proposed networks. In order to provide the QoS, scheduling mechanism is the challenging issue to transmit IMM traffic through the channel and it is still need to be solved over WCN. This work aims to examine the effect of the randomness on different MAC layer schedulers' performance and evaluates the performance of the proposed schedulers using different performance metrics in WCN.

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In this modern era, Mobile Ad hoc Network (MANET) is widely used for its mobility and self-configuring features. Hence, a better security approach is needed for maintaining high level network performance in mobile ad hoc network. This paper presents the comparative analysis of quality of service (QoS) of MANET protocols. In this regard, three types of most widely used protocols, named, Ad hoc On-demand Distance Vector (AODV), Dynamic Source Routing (DSR) and Optimized Link State Routing Protocol (OLSR) have been used to analyze. Therefore, AODV is selected in distributed ad hoc setting for the path discovery. Also, AODV is a reactive improvement of Dynamic Destination Sequence Vector (DSDV) protocol. On the other hand, the number of route broadcast is decreased by source routes on demand in AODV, which is opposite of DSDV algorithm. In this research, the quality of service parameters of network paths are also included to develop trust in the links to defend from various attacks. Moreover, a comparative analysis of delay, congestion, packet losses, transit time between source and destination is illustrated on AODV and DSR. In simulation time, packet drop-outs and link failures for probe packets are examined and analyzed under network attack.

A comparative analysis on routing

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The ability of self-localization is a basic requirement for an autonomous vehicle, and a prior reconstruction of the environment is usually needed. This paper analyses the performances of two typical hardware architectures that we evaluate in our 2D Simultaneous Localization and Mapping (2D-SLAM) system for large scale scenarios. In particular, the selected configurations are supposed to guarantee the possibility of integrating at a later stage mobile objects tracking capabilities without modifying the hardware architecture. The choice of the perception system plays a vital role for building a reliable and simple architecture for SLAM. Therefore we analyse two common configurations: one based on three planar LiDARs Sick LMS151 and the other based on a Velodyne 3D LiDAR VLP- 16. For each of the architectures we identify advantages and drawbacks related to system installation, calibration complexity and robustness, quantifying their respective accuracy for localization purposes. The conclusions obtained tip the balance to the side of using a Velodyne-like sensor facilitating the process of hardware implementation, keeping a lower cost and without compromising the accuracy of the localization. From the point of view of perception, additional advantages arise from the fact of having 3D information available on the system for other purposes.

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A collection of mobile nodes is known as ad-hoc network in which wireless communication network is used to connect these mobile nodes. A major requirement on the MANET is to provide unidentifiability and unlinkability for mobile nodes During the last few decades, continuous progresses in wireless communications have opened new research fields in computer networking, goal of extending data networks connectivity to environments where wired solutions are impracticable. Among these, vehicular traffic is attracting a increasing attention from both academic and industry, due to the amount and importance of the related applications, ranging from road safety to traffic control, up to mobile entertainment. Vehicular Ad-hoc Network(VANETs) are self-organized networks built up from moving vehicles, and are part of the broader class of Mobile Ad-hoc Net- works(MANETs). Because of their peculiar characteristics, VANETs require the definition of specific networking techniques, whose feasibility and performance are usually tested by means of simulation. One of the main challenges posed by VANETs simulations is the faithful characterization of vehicular mobility at both macroscopic and microscopic levels, leads to realistic non-uniform distributions of cars and velocity, and unique connectivity dynamics. There are various secure routing protocols have been proposed, but the requirement is not satisfied. The existing protocols are unguarded to the attacks of fake routing packets. Simulation results have demonstrated the effectiveness of the proposed AODV protocol with improved performance as compared to the existing protocols.

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The smart antennas are broadly used in wireless communication. The least mean square (LMS) algorithm is a procedure that is concerned in controlling the smart antenna pattern to accommodate specified requirements such as steering the beam toward the desired signal, in addition to placing the deep nulls in the direction of unwanted signals. The conventional LMS (C-LMS) has some drawbacks like slow convergence speed besides high steady state fluctuation error. To overcome these shortcomings, the present paper adopts an adaptive fuzzy control step size least mean square (FC-LMS) algorithm to adjust its step size. Computer simulation outcomes illustrate that the given model has fast convergence rate as well as low mean square error steady state.

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A COMPARATIVE ANALYSIS ON ROUTING PROTOCOLS OF MOBILE AD HOC NETWORK

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9.17

1. Performance Comparison of Three Location Service Algorithms for Vehicular Ad Hoc Networks Wan Chih Chang

7. Consistent Hashing

8. Query for Location

10.

11. Location Update

12.

13. Query success ratio (QSR)

14.

15.

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18. Number of cars 80 Mean velocity (m/s) 10, 20, 30,40

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20. The area size varying from 900x900 m 2 to 1350x1350 m 2 and 1800x1800 m 2

21. The area size of 1800*1800 m 2

22.

23. ~Thank you~

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