Description

Wireless micro sensor networks have been identified as one of the most important technologies. This system traces the history of research in sensor networks over the past three decades, including two important programs of the Defense Advanced Research Projects Agency (DARPA) spanning this period: the Distributed Sensor Networks (DSN) and the Sensor Information Technology (Sen Sit) programs. Most of the wireless sensor networks consist of static sensors, which can be deployed in a wide environment for monitoring applications. While performing data transmission through multiple hops become less reliable. The data collection technique is used to collect the aggregate data from the sensor node to the sink node. The main objective of the data collection process is to reduce the delay and improves the network’s lifetime. Hence the system design a Mobile Collector (MC) with distributed optimal movement strategy. Mobile collector is a device equipped with powerful transceiver and high battery power. It gathers the data in short range communications. The path of the mobile collector in the sensing field may be random or planned. The mobility of the collector reduces the energy consumption in the network. The mobile sinks (agents), e.g., data mules, can move around the sensor field and collect information observed at each sensor node. This framework evaluate the network loss probability performance which requires only local information for collecting data. This process becoming more cost-effective in term of the required buffer size or the required number of mobile collectors to achieve a target loss probability under various scenarios. Simulation show better performance than the existing random walk mobility strategy.