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Research Paper | Electronics & Communication Engineering | India | Volume 4 Issue 4, April 2015 | Rating: 6.4 / 10
Smart Dust Network for Tactical Border Surveillance System
J. Natarajan | V. Prabhakaran
Abstract: Smart dust is nothing but the sensing element which is used to sense any light signal, heat, etc. Sensing is simply a identifier, i. e. , to find whether anything or anybody available in our location or not. Nowadays this smart dust is used as tiny bits in Wireless Sensor Networks (WSN) to monitor the nodes present anywhere. One of the applications is that to effective in watching/ supervising border (secretly recording/ watching people) applications. When the positions of the tiny bits are subject to external forces, data from the WSN are only useful when combined with individual tiny bit. This problem can be avoided by a set of instruction related to things slowly changing for the better over time, which uses -geometric-awareness- operators that hold back the positions a WSN tiny bit can occupy to those that have a better chance of maximally adding/ giving to the chromosome fitness. A combination of two things/gas-electric vehicle containing/ making up the specialised and standard operators is also tested. This way increasing the chances for doable/ possible WSN applications developed, and fielded a wireless sensor network that demonstrated the value of providing advanced information of adversary activities. The project used wireless technologies to detect and test/evaluate intruders in remote bit un- designed and made terrain around a fixed facility. In the time since the wireless invasion detection system was fielded, minimal time has been spent on maintenance and no batteries required replacement. Wireless sensor network provides advanced warning of intruder activities and its installation will improve the security way of standing/ attitude of a facility.
Keywords: Smart dust, evolutionary algorithms, environmental monitoring, location estimation, heuristically directed evolution, geometric-awareness
Edition: Volume 4 Issue 4, April 2015,
Pages: 2225 - 2228