DocumentCode :
3086350
Title :
Wakeup Scheduling in Roadside Directional Sensor Networks
Author :
Tang, Jian ; Zhu, Binhai ; Zhang, Li ; Hincapie, Roberto
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
fYear :
2011
fDate :
5-9 Dec. 2011
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, we focus on a roadside directional sensor network where sensors with directional Field Of Views (FOVs) are placed along a roadway. We study the problem of wakeup scheduling, with the objective of maximizing network lifetime under the constraint that full coverage and network connectivity are maintained at all times. First, we present centralized polynomial time algorithms to optimally solve the problems of scheduling sensor nodes with fixed sensing orientations. Moreover, an effective heuristic algorithm is proposed to solve the problem of scheduling sensor nodes with variable sensing orientations. In addition, we also present distributed algorithms for both fixed and variable cases. Simulation results based on a roadway in the Yellowstone National Park have been presented to show the performance of the proposed algorithms.
Keywords :
computational complexity; distributed algorithms; heuristic programming; scheduling; telecommunication network reliability; wireless sensor networks; Yellowstone national park; centralized polynomial time algorithms; directional field of views; distributed algorithms; effective heuristic algorithm; network lifetime maximization; roadside directional sensor networks; sensor node schedulings; variable sensing orientations; wakeup scheduling problem; Distributed algorithms; Equations; Peer to peer computing; Schedules; Sensors; Tin; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
Conference_Location :
Houston, TX, USA
ISSN :
1930-529X
Print_ISBN :
978-1-4244-9266-4
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2011.6134473
Filename :
6134473
Link To Document :
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