DocumentCode :
2372851
Title :
Efficient Data Delivery in Wireless Sensor Networks with Ubiquitous Mobile Data Collectors
Author :
Jiao, Weiwei ; Cheng, Long ; Chen, Min ; Chen, Canfeng ; Ma, Jian
Author_Institution :
State Key Lab. of Networking & Switching Tech., Beijing Univ. of Posts & Telecomm., Beijing, China
fYear :
2010
fDate :
11-13 Dec. 2010
Firstpage :
232
Lastpage :
239
Abstract :
Usually, sensor data needs to be disseminated from the source sensors to data collectors (e.g., sink nodes), making those spatially distributed sensor data available for applications to access. The widespread and ubiquitous nature of mobile devices, e.g., PDAs and cell phones around the world, makes them attractive to be used as mobile data collectors (MDCs) to collect and deliver the sensor data. The goal of this work is to design a dissemination protocol that leads to efficient data delivery from the source sensors to ubiquitous MDCs. We propose the Wait-Focus-Spray (WFS) scheme for wireless sensor networks with ubiquitous MDCs. The main objective of WFS is to balance the data delivery latency and transmission overhead when considering the existence of ubiquitous MDCs. In WFS, we also propose a corresponding mechanism-probabilistic scattered binary spraying (PSBS), to reduce the spatial redundancy when spraying data copies, which can increase the probability of meeting a MDC. Through extensive simulations, we demonstrate that our WFS scheme reduces the transmission cost per message while provides comparable delivery delay compared with the existing work.
Keywords :
mobile handsets; ubiquitous computing; wireless sensor networks; PDA; cell phones; data delivery; dissemination protocol; mechanism-probabilistic scattered binary spraying; mobile devices; ubiquitous mobile data collectors; wait-focus-spray scheme; wireless sensor networks; Wireless sensor networks; data delivery; ubiquitous mobile data collectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded and Ubiquitous Computing (EUC), 2010 IEEE/IFIP 8th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-9719-5
Electronic_ISBN :
978-0-7695-4322-2
Type :
conf
DOI :
10.1109/EUC.2010.41
Filename :
5703521
Link To Document :
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