DocumentCode
2979397
Title
Grid-Based Energy-Efficient Routing from Multiple Sources to Multiple Mobile Sinks in Wireless Sensor Networks
Author
Kweon, Kisuk ; Ghim, Hojin ; Hong, Jaeyoung ; Yoon, Hyunsoo
Author_Institution
Div. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon
fYear
2009
fDate
11-13 Feb. 2009
Firstpage
1
Lastpage
5
Abstract
In this paper, we address the problem of packet transmission from multiple sources to multiple mobile sinks in the large-scale sensor network. Each mobile sink needs to periodically update its location information into the sensor network. Due to multiple mobile sinks, frequent location updates are needed and this causes enormous consumption of the limited battery power in the sensor node. Several routing protocols, such as TTDD and SEAD, suggest hierarchical approach for supporting mobile sinks. These approaches, however, build the grid structure or the tree per event which causes much power consumption as well, so they are not suitable for the sensor network where the event frequently happens. To effectively send the data to multiple mobile sinks and minimize the battery power consumption of sensors, we propose a grid-based energy-efficient routing protocol(GBEER) which makes only one grid structure independent of the event. We adopt a Grid-Quorum solution to effectively advertise and request the data for mobile sinks. Simulation results show that GBEER outperforms TTDD in terms of total energy consumption with variation of the number of sinks and sources and mobile sinks´ speeds.
Keywords
grid computing; routing protocols; wireless sensor networks; SEAD; TTDD; battery power consumption; grid-based energy-efficient routing; grid-quorum solution; multiple mobile sinks; multiple sources; routing protocols; wireless sensor networks; Batteries; Birds; Computer science; Detectors; Energy consumption; Energy efficiency; Event detection; Mobile computing; Routing protocols; Wireless sensor networks; energy-efficient hierarchical routing protocol; multiple mobile sinks; multiple sources; sensor network;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Pervasive Computing, 2009. ISWPC 2009. 4th International Symposium on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4244-2965-3
Electronic_ISBN
978-1-4244-2966-0
Type
conf
DOI
10.1109/ISWPC.2009.4800585
Filename
4800585
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