NDLI: Not Every Bit Counts: Data-Centric Resource Allocation for Correlated Data Gathering in Machine-to-Machine Wireless Networks

Content Provider	ACM Digital Library
Author	Chang, Chih-Hua Hsieh, Hung-Yun Liao, Wei-Chih
Copyright Year	2015
Abstract	Many applications involving machine-to-machine (M2M) communications are characterized by the large amount of data to transport. To support these M2M applications, we argue in this article that instead of focusing on serving individual machines with better quality, one should focus on solutions that can better serve the data itself. To substantiate, we consider the application of data gathering from a set of machines that communicate directly to an aggregator. Since the aggregator has limited radio resources, the problem arises as to how the resource can be effectively utilized for supporting such an application. We investigate “data-centric” resource allocation that aims to maximize information entropy of data collected through selecting the subset of machines to transmit, determining the amount of resources to allocate, and scheduling the sequence of transmissions. We present two instantiations of the problems when machines can perform distributed source coding or dependent source coding based on the data overheard from neighboring machines and then propose algorithms for solving the joint optimization problems. Evaluation results show that compared to conventional “machine-centric” resource allocation that aims to maximize the aggregate data rates or number of supported machines, “data-centric” resource allocation exhibits significant performance gain in terms of the quality of data that can be collected for the given amount of radio resources.
Starting Page	1
Ending Page	33
Page Count	33
File Format	PDF
ISSN	15504859
e-ISSN	15504867
DOI	10.1145/2700270
Volume Number	11
Issue Number	2
Journal	ACM Transactions on Sensor Networks (TOSN)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-03-02
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Information theory Coding and compression Node selection Resource allocation Transmission scheduling
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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