Node Failures, Data Aggregation Delay and Its Impact on Power Optimization in Balanced Sensor Networks
Wireless Sensor Networks (WSNs) have already emerged as an efficient method to collect data from harsh and human-not-reachable environments. They are employed in many delay-constrained applications where the data collected from the network is analyzed to give timely critical warnings. Such systems need to complete data aggregation and analysis with in minimum time. This paper is concerned with the design of Multi Level and Two Level Balanced Tree WSN. This research proves that configuration plays a vital role in data aggregation delay, node failure, power optimization and network lifetime when designing a Tree WSN.