Energy efficient protocol for layered supervision of communication model in wireless sensor networks

A wireless sensor network is a group of sensor nodes organized into a supportive network. Each node has processing capability that includes one or more microcontrollers, CPUs or DSP chips, multiple types of memory and RF transceiver, usually with a single Omni-directional antenna. The nodes converse wirelessly and often self-organize being deployed in an adhoc fashion. In our research, we identified the problem of management or intervallic data collection for stationary wireless sensor networks and present a practical, energy-efficient, and reliable solution. Energy-efficiency is achieved by our proposed methods. The finest scheme for balancing the communication load among all the nodes in the network is calculated flow optimization techniques. This gives the energy amount required in data collection process. Instead of using a fixed network topology, a set of optimized trees is constructed and the communication tree varies over different data collection cycles. We show that this method achieves an average energy consumption rate. The packet exchange process is developed based on collision-free schedules, to reduce the number of packets and the transmission and reception period for each node. Reliability of the process is certain by including many retransmit session opportunities in the schedules. We performed the simulation to evaluate the performance.