Decentralized Lifetime Minimizing Tree for Data Aggregation in Wireless Sensor Networks
To meet the demands of Wireless Sensor Networks (WSNs) where data are usually aggregated at a single source prior to transmitting to any distant user, there is a need to establish a tree structure inside any given event region. In this paper, the authors propose a novel technique to create one such tree, which preserves the energy and minimizes the lifetime of event sources while they are constantly transmitting for data aggregation in future WSNs. They use the term Decentralized Lifetime-Minimizing Tree (DLMT) to denote this tree. DLMT features in nodes with higher energy tend to be chosen as data aggregating parents so that the time to detect the first broken tree link can be extended and less energy is involved in tree maintenance.