NDLI: Information theoretic clustering: an approach to reduce user-tracking overheads in cellular networks

Content Provider	IEEE Xplore Digital Library
Author	Dey, P. Manakkal, R.
Copyright Year	2004
Description	Author affiliation: Mobile Commun. Lab., Swiss Fed. Inst. of Technol., Lausanne (Dey, P.; Manakkal, R.)
Abstract	Tracking information about users in a cellular network may need to be clustered for reasons of efficient distributed storage, transmission limitations, network constraints etc., especially at the remote locations or edge servers. We present here an information theoretic framework for clustering user-tracking information. One would like to cluster the information in such a way that given the clustered information at a remote location, the number of bits required to reconstruct the complete information is minimum. This minimizes the overhead of transporting these extra description bits for reconstructing the complete information, whenever it is required at the remote location. Finding the optimal clustering to minimize the conditional description of an information has good bounds in the set of good solutions of the problem of partitioning n weights into k subsets such that the largest and the smallest subset sums is minimized. However, the latter problem of partitioning is an NP-complete problem but good heuristic algorithms exist which provide suboptimal solutions. We discuss some of these heuristic strategies to achieve suboptimal clusters, present a lower bound and an estimate of an upper bound to our optimal solution and show that the heuristic solution is quite close to the optimal solution
Starting Page	174
Ending Page	179
File Size	227741
Page Count	6
File Format	PDF
ISBN	0780385497
DOI	10.1109/ICCS.2004.1359362
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-07
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Land mobile radio cellular systems Home automation Network servers Cities and towns Mobile communication Laboratories NP-complete problem Clustering algorithms Heuristic algorithms
Content Type	Text
Resource Type	Article

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