Design of an intelligent wireless Scatternet Sensor network with location estimation

Wireless communication devices are widely subjected to intruder attacks and in the existing security system, the algorithm consists of a ranging phase that uses the received signal strength to estimate a network radio map and a localization phase which uses a genetic algorithm to obtain the most likely position of the intruder node within the map using the genetic algorithm which is not time consuming. This paper proposes an intrusion detection system with the proposed LERSS algorithm that effectively calculates the location of the intruder when experimented using tree topology. Additionally, the algorithm has better accuracy, and is capable of locating the intruder both within the same system as well as from outside the system. The random population generation and line of sight problems are overcome by this algorithm. To calculate the distance that enables to locate the position of the intruder accurately thereby providing an intelligent security system.