Balancing energy efficiency and quality of aggregate data in sensor networks

Mohamed A. Sharaf, Jonathan Beaver, Alexandros Labrinidis, Panos K. Chrysanthis
2004 The VLDB journal  
In-network aggregation has been proposed as one method for reducing energy consumption in sensor networks. In this paper, we explore two ideas in order to further reduce energy consumption in the context of in-network aggregation: First, influencing the construction of the routing trees for sensor networks with the goal of reducing the size of transmitted data. Toward this, we propose a group-aware network configuration method, that "clusters" along the same path sensor nodes that belong to the
more » ... same group. Secondly, imposing a hierarchy of output filters on the sensor network with the goal of both reducing the size of transmitted data as well as minimizing the number of transmitted messages. More specifically, we propose a framework to use temporal coherency tolerances in conjunction with in-network aggregation to save energy at the sensor nodes while maintaining specified quality of data. These tolerances are based on user preferences or can be dictated by the network in cases where the network cannot support the current tolerance level. Our framework, called TiNA, works on top of existing in-network aggregation schemes. We evaluate experimentally our proposed schemes in the context of existing in-network aggregation schemes. We present experimental results measuring energy consumption, response time, as well as quality of data for Group By queries. Overall, our schemes provide significant energy savings with respect to communication and a negligible drop in quality of data.
doi:10.1007/s00778-004-0138-0 fatcat:ueq4ccjplbbzhisabk7kajqymy