DocumentCode
3266849
Title
Two energy-efficient and timesaving improvement mechanisms for network reprogramming in wireless sensor network
Author
Ruo-Hong, Huang ; Xiao-yi, Zhang ; Xiao-mei, Wang ; Yu-Mei, Huang
Author_Institution
Dept. of Commun. Eng., Inf. Eng. Univ., Zhengzhou, China
Volume
5
fYear
2010
fDate
22-24 June 2010
Abstract
Network Reprogramming is very necessary to wireless sensor networks. We give two mechanisms, sender selection mechanism and permanent mechanism, making Network Reprogramming timesaving and energy-efficient. Network Reprogramming usually includes three processes which are image pretreatment, image distribution and image reloading. To make the image distribution more efficient, we give a sender selection algorithm based on Influence, Distance and residual Energy. Simulation reveals that after adopting this algorithm, the classic code distribution protocol Deluge has almost the same completion time as before, but produces less messages and saves more energy. On the other hand, completion time and energy cost has direct ratio with the image size to transmit. In order to reduce the image size, we keep some universal functions such as the image distribution fixed in the sensor nodes and design the permanent mechanism sending only application module and relative basic function modules. Simulation shows that this mechanism remarkably reduces the energy cost and completion time.
Keywords
programming; wireless sensor networks; image distribution; network reprogramming; permanent mechanism; sender selection algorithm; sender selection mechanism; wireless sensor network; Computational modeling; Computer science education; Costs; Educational technology; Energy efficiency; Image sensors; Power cables; Power engineering and energy; Protocols; Wireless sensor networks; Network Reprogramming; Permanent Mechanism; Sender Selection Mechanism; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Education Technology and Computer (ICETC), 2010 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6367-1
Type
conf
DOI
10.1109/ICETC.2010.5529779
Filename
5529779
Link To Document