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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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Technological advancement in the field of transportation and communication is happening at a faster pace in the past few decades. As the demand for high-speed transportation increases, the need for an improved seamless communication system to handle higher data traffic in a highly mobile environment becomes imperative. This paper proposes a novel scheme to enhance the quality of service in high-speed railway (HSR) communication environment using the concept of torch nodes (TNs) and adaptive measurement aggregation (AMA). The system was modeled using an object-oriented discrete event simulator, and the performance was analyzed against the existing single-antenna scheme. The simulation results show that the proposed scheme with its minimal implementation overhead can efficiently perform seamless handover with reduced handover failure and communication interruption probability.