Flow Based Layer Selection Algorithm for Data Collection in Tree Structure Wireless Sensor Networks

摘要

The problem of data collection in tree structure wireless sensor networks has been studied in several articles and has many issues in data collection. Our earlier method performs data collection using layer based approach which performs layer selection in round robin approach. Also the existing method has the problem of channel utilization and to overcome the issue, this paper proposes a novel flow based layer selection algorithm for data collection in wireless networks. The proposed method maintains trace of data rate received from different layers at each cycle and using the trace available, the method performs flow estimation about how much byte of information has been received from each layer and number of nodes present in each layer, number of supporting nodes in wakeup mode in the neighboring layer, amount of energy depletion. Based on all these factors the method computes the channel utilization and data collection rate, based on which the method selects the any layer for data collection. Also the method triggers a set of supporting nodes of neighbor layers based on the data rate only. The proposed method improves the performance of data collection and increases the lifetime and channel utilization efficiency.