Big Island, HI, USA
Jan. 6, 2003 to Jan. 9, 2003
Mark Perillo , University of Rochester
Among the various wireless technologies available today, Bluetooth stands out as the most promising for use in low-power sensor networks. This is especially true for large networks of sensors with low data rates, where Bluetooth?s low power Hold, Sniff, and Park modes could be utilized during periods of low activity to reduce power con-sumption. One way that these modes can be exploited to reduce energy consumption is by using an intelligent polling scheme to control intra-piconet traffic. We introduce a novel polling algorithm called Adaptive Share Polling (ASP) that is designed to perform well when the network consists of sources sending short data packets at constant rate that may fluctuate over time. In ASP, the scheduler at the master implicitly learns the share of the bandwidth that needs to be allocated to each of the slaves in order to meet the latency and/or power requirements of the application. Our simulation results show that significant power savings can be achieved in slaves whose data rates do not approach capacity of a Bluetooth piconet, and in masters when the composite data rate of the piconet does not approach capacity.
Mark Perillo, "ASP: An Adaptive Energy-Efficient Polling Algorithm for Bluetooth Piconets", HICSS, 2003, 36th Hawaii International Conference on Systems Sciences, 36th Hawaii International Conference on Systems Sciences 2003, pp. 311a, doi:10.1109/HICSS.2003.1174868