Title :
Near-Optimal Working Slots Selection for a Sensor Via Submodularity
Author :
Wu, Xiaopei ; Wu, Yue
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, we consider the sensor working periodically and every period was divided into N slots. To reduce energy consumption, the sensor can only be active in K slots of N for every period, the basic problem is which K slots are fine enough (like: minimum packet delay). According to the requirement of packet delay, we introduce a monotonic non-decreasing expected penalty reduction function as our criterion to select working slots, which is a submodular set function. By exploiting the submodularity property, we give a simple greedy algorithm, which is a constant (1 - 1/e) of the optimal working slots set. The experimental results show that the proposed algorithm can find the optimal working slots for nearly all energy conserving rate.
Keywords :
energy conservation; wireless sensor networks; energy conserving rate; minimum packet delay; near-optimal working slots selection; penalty reduction function; sensor; submodular set function; Approximation algorithms; Computer science; Delay effects; Disruption tolerant networking; Energy consumption; Greedy algorithms; Polynomials; Power engineering and energy; Sensor phenomena and characterization; Wireless sensor networks;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5303219