The Community for Technology Leaders
Green Image
Issue No. 10 - Oct. (2012 vol. 23)
ISSN: 1045-9219
pp: 1958-1969
Shaojie Tang , Illinois Institute of Technology, Chicago
Changjun Jiang , Tongji University, Shanghai and Ministry of Education, China
Cheng Wang , Tongji University, Shanghai and Ministry of Education, China
Xiang-Yang Li , Tsinghua University and Illinois Institute of Technology, Chicago
ABSTRACT
In this work, for a wireless sensor network (WSN) of n randomly placed sensors with node density \lambda \in [1,n], we study the tradeoffs between the aggregation throughput and gathering efficiency. The gathering efficiency refers to the ratio of the number of the sensors whose data have been gathered to the total number of sensors. Specifically, we design two efficient aggregation schemes, called single-hop-length (SHL) scheme and multiple-hop-length (MHL) scheme. By novelly integrating these two schemes, we theoretically prove that our protocol achieves the optimal tradeoffs, and derive the optimal aggregation throughput depending on a given threshold value (lower bound) on gathering efficiency. Particularly, we show that under the MHL scheme, for a practically important set of symmetric functions called divisible perfectly compressible (DPC) functions, including the mean, max, and various kinds of indicator functions, etc., the data from \Theta (n) sensors can be aggregated to the sink at the throughput of a constant order \Theta (1), implying that, our MHL scheme is indeed scalable.
INDEX TERMS
Throughput, Wireless sensor networks, Temperature measurement, Protocols, Lattices, Temperature sensors, aggregation capacity, Wireless sensor networks, data aggregation, percolation theory
CITATION
Shaojie Tang, Changjun Jiang, Cheng Wang, Xiang-Yang Li, "SelectCast: Scalable Data Aggregation Scheme in Wireless Sensor Networks", IEEE Transactions on Parallel & Distributed Systems, vol. 23, no. , pp. 1958-1969, Oct. 2012, doi:10.1109/TPDS.2011.312
178 ms
(Ver )