Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/84223
Title: | Towards energy-fairness in asynchronous duty-cycling sensor networks | Authors: | Li, Zhenjiang. Mo, Li. Liu, Yunhao. |
Keywords: | DRNTU::Engineering::Computer science and engineering | Issue Date: | 2012 | Conference: | IEEE Conference on Computer Communications (31th : 2012 : Orlando, Florida, US) | Abstract: | In this paper, we investigate the problem of controlling node sleep intervals so as to achieve the min-max energy fairness in asynchronous duty-cycling sensor networks. We propose a mathematical model to describe the energy efficiency of such networks and observe that traditional sleep interval setting strategy, i.e., operating sensor nodes with identical sleep intervals, or intuitive control heuristics, i.e., greedily increasing sleep intervals of sensor nodes with high energy consumption rates, hardly perform well in practice. There is an urgent need to develop an efficient sleep interval control strategy for achieving fair and high energy efficiency. To this end, we theoretically formulate the Sleep Interval Control (SIC) problem and find it a convex optimization problem. By utilizing the convex property, we decompose the original problem and propose a distributed algorithm, called GDSIC. In GDSIC, sensor nodes can tune sleep intervals through a local information exchange such that the maximum energy consumption rate in the network approaches to be minimized. The algorithm is self-adjustable to the traffic load variance and is able to serve as a unified framework for a variety of asynchronous duty-cycling MAC protocols. We implement our approach in a prototype system and test its feasibility and applicability on a 50-node testbed. We further conduct extensive trace-driven simulations to examine the efficiency and scalability of our algorithm with various settings. | URI: | https://hdl.handle.net/10356/84223 http://hdl.handle.net/10220/13028 |
DOI: | 10.1109/INFCOM.2012.6195827 | Schools: | School of Computer Engineering | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SCSE Conference Papers |
SCOPUSTM
Citations
10
31
Updated on Feb 28, 2024
Page view(s) 5
915
Updated on Mar 27, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.