Dept. of Electr. Eng., National Taiwan Univ.Tsung-Han LinPOLLY HUANG2018-09-102018-09-102005-0315253511http://scholars.lib.ntu.edu.tw/handle/123456789/317817https://www.scopus.com/inward/record.uri?eid=2-s2.0-24944535731&doi=10.1109%2fWCNC.2005.1424885&partnerID=40&md5=6a4d56bcceb611f1a9f3a0a66b941d28With the creative use of sensors, the sensor networks could impact a wide variety of applications from national security to consumer electronics in the future. Sharing the vision and emphasizing the energy efficiency of data dissemination for the resource inventory applications, we propose a novel data aggregation strategy and algorithms to obtain the population of the objects (i.e., the resource) to be sensed in the networks. With a set of cautiously validated simulations, we show that the energy consumption applying our solution is only one third of the original case and scalable to the object population. The experimental results also show that we are able to obtain consistent lower and upper bounds at the 70% and 180% of the exact population. While we show the solution works effectively for the resource inventory applications, this work suggests more profoundly that there is yet design space to explore in application-specific data aggregation for energy conservation. © 2005 IEEE.application/pdf2240010 bytesapplication/pdfAggregate computation; Data aggregation; Resource inventory; Sensor network[SDGs]SDG7Data dissemination; Object population; Resource inventory; Sensor data aggregation; Consumer electronics; Data transfer; Energy efficiency; Inventory control; Resource allocation; Telecommunication networks; Sensorsconference paper10.1109/WCNC.2005.14248852-s2.0-24944535731