NDLI: Multiple task scheduling for low-duty-cycled wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Shuguang Xiong Jianzhong Li Mo Li Jiliang Wang Yunhao Liu
Copyright Year	2011
Description	Author affiliation: Schoole of Computer Science and Technology, Harbin Institute of Technology, China (Shuguang Xiong; Jianzhong Li) \|\| CSE Department, Hong Kong University of Science and Technology, China (Jiliang Wang; Yunhao Liu) \|\| School of Computer Engineering, Nanyang Technological University, Singapore (Mo Li)
Abstract	For energy conservation, a wireless sensor network is usually designed to work in a low-duty-cycle mode, in which a sensor node keeps active for a small percentage of time during its working period. In applications where there are multiple data delivery tasks with high data rates and time constraints, low-duty-cycle working mode may cause severe transmission congestion and data loss. In order to alleviate congestion and reduce data loss, the tasks need to be carefully scheduled to balance the workloads among the sensor nodes in both spatial and temporal dimensions. This paper studies the load balancing problem, and proves it is NP-Complete in general network graphs. Two efficient scheduling algorithms to achieve load balance are proposed and analyzed. Furthermore, a task scheduling protocol is designed relying on the proposed algorithms. To the best of our knowledge, this paper is the first one to tackle multiple task scheduling for low-duty-cycled sensor networks. The simulation results show that the proposed algorithms greatly improve the network performance in most scenarios.
Starting Page	1323
Ending Page	1331
File Size	544800
Page Count	9
File Format	PDF
ISBN	9781424499199
ISSN	0743166X
e-ISBN	9781424499212
DOI	10.1109/INFCOM.2011.5934916
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Schedules Wireless sensor networks Optimal scheduling Scheduling Algorithm design and analysis Time factors Delay
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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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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