Abstract:
Wireless sensor networks and VLSI design are tremendously being used in different environments to perform various monitoring tasks such as search, rescue, disaster relief, target tracking and a number of tasks in smart environments. Node localization is required to report the origin of events, assist group querying of sensors, routing and to answer questions on the network coverage. This paper reviews different approaches of node localization discovery in wireless sensor networks. Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a battlefield. This paper describes a thermal modeling approach for VLSI Floor planning that is easy to use and computationally efficient. It is based on Differential Evolution (DE) algorithm based thermal-aware floor-planning framework which optimizes both chip area and total wire length. We discuss the network connectivity and broadcast reach ability, which are necessary conditions to ensure the corresponding detection probability in a WSN. Our simulation results validate the analytical values for both homogeneous and heterogeneous WSNs. The experimental result shows that DE can produce good optimal thermal solutions for MCNC benchmarks.

Keywords: Intrusion detection, Wireless Sensor Network (WSN), Differential Evolution algorithm, B*tree, Hotspot tool