DocumentCode
3527894
Title
Trailing mobile sinks: A proactive data reporting protocol for Wireless Sensor Networks
Author
Liu, Xinxin ; Zhao, Han ; Yang, Xin ; Li, Xiaolin ; Wang, Ning
Author_Institution
Comput. & Inf. Sci. & Eng., Univ. of Florida, Gainesville, FL, USA
fYear
2010
fDate
8-12 Nov. 2010
Firstpage
214
Lastpage
223
Abstract
In Wireless Sensor Networks (WSN), data gathering using mobile sinks typically incurs constant propagation of sink location indication messages to guide the direction of data reporting. Such behavior is undesirable, especially when the sensor network scale increases, as frequent message flooding will cause serious congestion in network communication and significantly impair the sensor network lifetime. In this paper, we propose a proactive data reporting protocol, SinkTrail, which achieves energy efficient data forwarding to multiple mobile sinks, and effectively reduces the number of sink location broadcasting messages. SinkTrail is unique in two aspects: (1) it allows sufficient flexibility in the movement of mobile sinks to dynamically adapt to unknown terrestrial changes; and (2) without assistance of GPS or predefined landmarks, SinkTrail establishes a logical coordinate system for predicting and tracking mobile sinks´ locations, thereby significantly saves energy consumed during the data reporting process. We systematically analyze the impact of several design factors in SinkTrail and explore potential design improvements. The simulation results demonstrate that SinkTrail outperforms the Frequent Flooding Method (FFM) in finding shorter routing path and consumes less energy during data gathering process.
Keywords
routing protocols; wireless sensor networks; SinkTrail; WSN; energy efficient data forwarding; logical coordinate system; mobile sinks; proactive data reporting protocol; wireless sensor network; Mobile communication; Mobile computing; Routing; Routing protocols; Trajectory; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Adhoc and Sensor Systems (MASS), 2010 IEEE 7th International Conference on
Conference_Location
San Francisco, CA
ISSN
2155-6806
Print_ISBN
978-1-4244-7488-2
Type
conf
DOI
10.1109/MASS.2010.5663998
Filename
5663998
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