Sourav Dhar

Cognitive vertical handover engine for vehicular communication

Always best connected (ABC) communication is an essential requirement for intelligent transportation system. In this paper, we propose a cognitive vertical handover (CVHO) engine to ensure seamless connectivity on the move. Analytic hierarchy process and artificial neural network are used for the development of the algorithm and MATLAB is used as simulation platform. The CVHO engine, which is knowledge based context aware system, takes into account multiple relevant criteria and previous experiences. This system is capable of performing both voluntary and reflex actions. A detailed literature review is presented to compare this work with the conventional methods of vertical handover. A case study, considering the network selection in a typical highway traffic scenario, which consists of both peer-to-peer (P2P) and mobile networks, is presented for the validation of the design. Three radio access technologies, WLAN (P2P), UMTS and WiMAX (mobile networks), are considered for simulation. The results show that the presented model not only realistically optimizes the best available network on the move but also avoids unnecessary handovers. This algorithm is specific to vehicular communication system and hence variation in network selection with vehicle speed is shown.

Modeling and Implementation Of Wireless Embedded System For Intelligent Transport System Application

Intelligent transport system (ITS) deals with the remote sensing as well as access to the Internet and multimedia on the move. There is a need for a system that supports both remote sensing and communication aspects with simple and reconfigurable hardware. In the present work MATLAB/SIMULINK based modeling of such a system is done based on DSSS. Hardware realization of this model is achieved through the signal wave software defined radio (SDR). From the simulation results two empirical formulae are developed for target detection.

ANP based vertical handover algorithm for vehicular communication

Vertical handover (VHO) is an essential requirement to provide seamless connectivity in heterogeneous radio access networks (RAN) environment. Intelligent transportation system (ITS), which needs an “always best connected” communication to ensure vehicular safety, is an application of 4G that is characterized by heterogeneous RAN. A novel context aware vertical handover algorithm for vehicular communication is presented here. ANP (Analytic Network Process), which is a multi criteria decision making (MCDM) tool, is used for the development of algorithm and MATLAB/SIMULINK is used as simulation platform. The optimum network is selected, based on multiple factors such as network traffic load, velocity of mobile station, reliability, data rate, usage cost and initial delay of network, among the available networks such as WiMax, WLAN and UMTS. This algorithm is specific to vehicular communication system and hence variation in network selection with vehicle speed is shown considering five case studies.

Review of sensor technology for mine safety monitoring systems: A holistic approach

This paper reviews the current sensor technologies and communication methods available for mine safety monitoring. Wireless Sensor Network (WSN) technology use in recently developed mine safety monitoring systems is highlighted and compared with traditional wired monitoring systems.

Simulation of cognitive short-range radar and imaging of the moving target for safety application in ITS

Simulation of the spectrum sensing towards the development of cognitive short range radar (CSRR) is presented in this paper. Also, the classification of the moving objects, another important issue in ITS, is addressed here. A convenient way of object classification is on the basis of 2D radar imaging. As a first step, in this work an ISAR image formation is explained and simulated. Only Fourier transform based approach of the received signal is insufficient to develop the radar image of moving targets. The method of joint time-frequency transform is applied to the radar returned energy to get the focused image of a moving target. The imaging is performed by simulating 24GHz short range radar with 100ns pulse width. MATLAB/ SIMULINK are used as simulation platform.

Comparison of different channel estimation algorithms from ITS perspective

The channel estimation is an important issue for safety and non safety applications of intelligent transportation systems (ITS). Communication would come to a standstill if there were no channel estimation. It is essential to know the channel characteristics before sending a signal so that we have a fair knowledge of how distorted our received signal could be. Hence proper estimation is a major requirement to avoid erroneous reception. In this work, channel estimation algorithms, viz., LMS, RLS, MMSE and Kalman filter, are compared from ITS perspective. Further a case study, on OFDM based system in a utopian transport scenario, is presented to evaluate the efficiency of these algorithms. The simulation is carried out in MATLAB/ SIMULINK platform.

Radar target modeling and 2D ISAR imaging at 76GHz for ITS application

Principal objective of this paper is to form the ISAR image of a complex target using 76GHz long range radar (LRR). Modeling of point target is done and the idea is extended to model a complex target (vehicle). Simulation is performed in MATLAB platform. The sample points are generated using Graphical User Interface (GUI) of MATLAB. These sample points are processed using Nearest Neighbor Approximation interpolation technique. This ISAR imaging can be used for object classification and will be applicable to intelligent transportation systems (ITS) for adaptive cruise control (ACC) and hence to avoid collision.

Ranking of Sensors for ADAS—An MCDM-Based Approach

Nowadays, advanced driver assistance system (ADAS) is one of the utmost emerging matters of intelligent transportation system (ITS). Many sensors, with their own advantages and limitations, are available in market, to be implanted in the vehicle to provide guidance to the driver. Such guidance enables the action of vehicle by providing drivers advanced control and better driving experience. But the choice of sensors among the available sensors is an important issue that needs to be addressed. This paper presents a method, considering multiple constraints, to provide ranking of those sensors to be used to design a robust, reliable, and cost-effective ADAS.

Low angle land clutter mitigation — A soft computing approach

This paper introduces a soft computing based signal processing approach that simplifies the analysis of clutter problem. This is done by using a fuzzy logic algorithm to mitigate low angle land clutter. The proposed clutter mitigation method will be helpful to address the problem of false alarm in vehicular safety application.

Environmental monitoring using sensor data fusion

This paper deals with the implementation of data fusion technique viz. Kalman Filter in the estimation of a precise value for a set of data taken from sensors measuring various environmental aspects such as temperature, humidity and atmospheric pressure. Current research work going in this field is also discussed in brief, as well as their limitations.