The Automotive Industry worldwide is considering Dedicated Short Range Communication (DSRC) as a promising technology for Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication to support public safety applications, improvement of traffic flow and a number of ITS applications. Though the research on the current topic has been extensively done, yet it is not fully evaluated and analyzed through on field experiments. These wireless networks are prone to fading due to shadowing from obstacles or multipath propagation resulting in attenuation of signal at receiver whichleads to high error rates. In this paper we describe and present the results of field experiments that were conducted to evaluate various wireless communication parameters over 802.11p based WiFi network using IEEE 1609 WAVE protocols for a dedicated DSRC hardware. The parameters include delay,jitter and packet loss in DSRC based system when it is made to communicate under various channel load conditions in outdoor environment. We also evaluate and present the results of communication performance under cross channel interference in real field environment.

The continuous search for endurance has transformed the world into a place filled with electronic and digital security systems. Emerging technologies have metamorphosed the nature of surveillance and monitoring applications, but the sensory data collected using these gadgets still remains unreliable and poorly synchronized. In this paper, we detail a research project named Intelligent Intrusion Detection System (In2DS) for remote surveillance and monitoring applications which can greatly improve the existing systems in terms of energy, cost and performance. The motivation for developing In2DS stems from the fact that Wireless Sensor Networks (WSN) can provide wider sensing coverage, night & harsh weather surveillance, multi-sensor data fusion and in-network data processing thereby enhancing existing intrusion detection capabilities and improving alarm functionalities. We present preliminary results based on the field experiments conducted as part of the project and provide an in-depth analysis of Passive InfraRed (PIR) sensor detection performance.

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