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C. Intanagonwiwat, D. Estrin, R. Govindan and J. Heidemann, “Impact of Network Density on Data Aggregation in Wireless Sensor Networks,” Proceedings of the 22nd International Conference on Distributed Computing Systems, Vienna, 2-5 July 2002, pp. 457-472.

has been cited by the following article:

• TITLE: A New Scheduling Algorithm for Reducing Data Aggregation Latency in Wireless Sensor Networks

  AUTHORS: Meirui Ren, Longjiang Guo, Jinbao Li

  KEYWORDS: Reducing Latency, Wireless Sensor Networks, Scheduling Algorithm

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.3 No.8, August 31, 2010

  ABSTRACT: Existing works on data aggregation in wireless sensor networks (WSNs) usually use a single channel which results in a long latency due to high interference, especially in high-density networks. Therefore, data aggre- gation is a fundamental yet time-consuming task in WSNs. We present an improved algorithm to reduce data aggregation latency. Our algorithm has a latency bound of 16R + Δ – 11, where Δ is the maximum degree and R is the network radius. We prove that our algorithm has smaller latency than the algorithm in [1]. The simulation results show that our algorithm has much better performance in practice than previous works.