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Impact of Brooks-Iyengar DistributedSensing Algorithm on Real Time Systems
May 2014 (vol. 25 no. 5)
pp. 1370
Vijay Kumar, University of Missouri-Kansas City , Kansas City,
In this paper we evaluate the merit of Brooks-Iyengar distributed sensing algorithm and highlight its impact on cost-effective processing of real-time sensor data stream. We discover that it has a long-lasting impact, not only on sensor networks, but also on computer operating systems. We believe that as we learn more about the usefulness of this algorithm, it will become an essential component of system that use sensors in some form.
Index Terms:
Robot sensing systems,Real-time systems,Algorithm design and analysis,Accuracy,Cities and towns,USA Councils,sensor stream,Real-time,two-phase locking,sensor network,sensor
Citation:
Vijay Kumar, "Impact of Brooks-Iyengar DistributedSensing Algorithm on Real Time Systems," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 5, pp. 1370, May 2014, doi:10.1109/TPDS.2013.25
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