Aggregation capacity of wireless sensor networks: Extended network case

—A critical function of wireless sensor networks (WSNs) is data gathering. While, one is often only interested in collecting a relevant function of the sensor measurements at a sink node, rather than downloading all the data from all the sensors. This paper studies the capacity of computing and transporting the specific functions of sensor measurements to the sink node, called aggregation capacity, for WSNs. It focuses on random WSNs that can be classified into two types: random extended WSN and random dense WSN. All existing results about aggregation capacity are studied for dense WSNs, including random cases and arbitrary cases, under the protocol model (ProM) or physical model (PhyM). In this paper, we propose the first aggregation capacity scaling laws for random extended WSNs. We point out that unlike random dense WSNs, for random extended WSNs, the assumption made in ProM and PhyM that each successful transmission can sustain a constant rate is over-optimistic and unpractica...

• Type: Journal
• Year: 2011
• Where: INFOCOM
• Authors: Cheng Wang, Changjun Jiang, Yunhao Liu, Xiang-Yang Li, ShaoJie Tang, Huadong Ma
• Keywords: Communications, INFOCOM 2011, Random Cases, Sensor Measurements, Wireless Sensor Networks