INTELLIGENT WIRELESS SENSOR BASED BOMB DETECTION: AN INTEGRATION QUALITY OF SERVICE MODEL FOR INTERNET OF THINGS PLATFORM
Owing to the global security concerns, intelligent Wireless Sensor Networks (iWSN) have been a major outcome of technological breakthrough. It thus becomes a practical platform where the information about the real world could be obtained via data fusion and computational embedded hardware systems. This paper presents a new perspective to Bomb Detection Technology (BDT) using an integration model that is based on the Internet of Things (IoT)ideology. QoS performance evaluation of selected algorithms, that is, the LEACH, Direct, as well as, a proposed cluster head (CH) algorithm for event based sensing and communication within an IoT deployment context was undertaken. Detection of suicide bombers and their related security frontiers is addressed in the IoT integration processed at the network level. The obtained results validate the need to integrate WSN devices into the IoT stack. In this regard, the IoT based CH algorithm is proposed for efficient communication system and energy utilization in bomb detonation hardware designs.