Data collection with probabilistic guarantees in opportunistic wireless networks Online publication date: Tue, 20-Jun-2017
by Meirui Ren; Jianzhong Li; Longjiang Guo; Zhipeng Cai
International Journal of Sensor Networks (IJSNET), Vol. 24, No. 2, 2017
Abstract: Sensors can be embedded in many mobile devices/objects such as smart phones, vehicles and animals to collect data from the surrounding environment. These mobile devices can communicate with each other by wireless techniques to form opportunistic wireless networks (OWNs). OWNs have volatile network topology and loose connectivity. Data collection from mobile devices is very challenging. This paper proposes a data collection protocol named DCPG with probabilistic guarantees in OWNs. DCPG consists of four parts: broadcasting sink's position periodically, electing collectors by partitioning a network into grids, direct transmission from general nodes to collectors, and directional transmission from collectors to the sink. The theoretical analysis shows that DCPG can adjust the parameters to guarantee that the average data collection ratio is greater than the user-specified data collection ratio. The simulation results show that DCPG outperforms the existing best protocol SMITE on the aspects of data collection ratio and communication overhead.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sensor Networks (IJSNET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook