Distributed Data Collection Scheme for Store and Forward Information in Wireless Sensor Network?

Sensors networks are capable of collecting an enormous amount of data over space and time often, the ultimate objective is to ―sample, store and forward‖ that is to sense the data, store it locally and ultimately forward it to accent almost and analysed. Typical sensor nodes are wireless nodes with limited storage and computational power. Furthermore they are prone to ―failure‖ by going out of wireless range, interference running out of battery etc. They can be deployed in isolated or dangerous areas to monitor objects, temperatures, etc. or to detect fires, floods, or other incidents. There has been extensive research on sensor networks to improve their utility and efficiency. The sensor and storage nodes are distributed randomly in some region and cannot maintain routing tables or shared knowledge of network topology. Some nodes might disappear from the network due to failure or battery depletion. A distributed data collection algorithm to accurately store and forward information obtained by wireless sensor networks is proposed. The proposed algorithm does not depend on the sensor network topology or geographic locations of sensor nodes, but rather makes use of uniformly distributed storage nodes. Analytical and simulation results for this algorithm show that, with high probability, the data disseminated by the sensor nodes can be precisely collected by querying any small set of storage nodes.