DocumentCode
68506
Title
Battery-Friendly Packet Transmission Algorithms for Wireless Sensor Networks
Author
Honggang Li ; Chenfu Yi ; Ye Li
Author_Institution
Key Lab. for Health Inf., Shenzhen Inst. of Adv. Technol., Shenzhen, China
Volume
13
Issue
10
fYear
2013
fDate
Oct. 2013
Firstpage
3548
Lastpage
3557
Abstract
The core problem with nodes of wireless sensor networks is the limited charge capacity for the power-operated battery. The main concern of this paper is how to extend the battery´s lifetime. According to the characteristics and functionality of sensor nodes, the sensor applications are categorized into three distinct types, i.e., the hard real-time applications, the soft real-time applications, and the periodic applications. For the hard real-time applications, a battery-friendly lazy packet scheme is designed to draw smoother and lower current for minimizing battery charge consumption. A battery-friendly local optimization scheme with slack time is exploited and evaluated for the soft real-time applications. For the periodic applications, a battery-aware task-scheduling algorithm is developed, which reschedules tasks of sensor nodes to achieve the battery friendly discharge profile. The simulation results show that the three battery-friendly algorithms perform better in extending lifetime of battery-operated sensor nodes and minimizing battery charge consumption.
Keywords
optimisation; secondary cells; wireless sensor networks; battery charge consumption; battery-aware task-scheduling algorithm; battery-friendly local optimization scheme; battery-friendly packet transmission algorithms; battery-operated sensor nodes; hard real-time applications; power-operated battery; soft real-time applications; wireless sensor networks; Analytical models; Batteries; Real-time systems; Schedules; Sensor phenomena and characterization; Wireless sensor networks; Battery-friendly; battery model; lazy packet; packet transmission; wireless sensor networks;
fLanguage
English
Journal_Title
Sensors Journal, IEEE
Publisher
ieee
ISSN
1530-437X
Type
jour
DOI
10.1109/JSEN.2013.2276617
Filename
6574222
Link To Document