ACM Home Page
Please provide us with feedback. Feedback
Query-based data collection in wireless sensor networks with mobile sinks
Full text PdfPdf (704 KB)
Source International Conference On Communications And Mobile Computing archive
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly table of contents
Leipzig, Germany
SESSION: Applications and data gathering (Wireless Sensor Networks symp.) table of contents
Pages 1157-1162  
Year of Publication: 2009
ISBN:978-1-60558-569-7
Authors
Long Cheng  Beijing University of Posts and Telecommunications, Beijing, China
Yimin Chen  Stanford University, Stanford, California
Canfeng Chen  Nokia Research Center, Beijing, China
Jian Ma  Nokia Research Center, Beijing, China
Sponsors
ACM: Association for Computing Machinery
: Wiley-Blackwell
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 26,   Downloads (12 Months): 52,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1582379.1582633
What is a DOI?

ABSTRACT

Considering sensor nodes deployed densely and uniformly in the sensing field, we focus on a scenario that a mobile sink moving through the sensing field queries a specific area or a point of interest for data collection. A Query packet is injected by the mobile sink and routed to the specific area, then the corresponding Response packet is returned to the mobile sink via multi-hop communication. Due to the mobility of the sink, the Query and Response should have different routes. We analyze such a network model to address the problem of efficient data collection in wireless sensor networks and propose an efficient Query-Based Data Collection Scheme (QBDCS). In order to minimize the energy consumption and packet delivery latency, QBDCS chooses the optimal time to send the Query packet and tailors the routing mechanism for partial sensor nodes forwarding packets. Simulation results demonstrate that QBDCS completes a query-based data collection cycle with minimum energy consumption and delivery latency.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
K. Romer and F. Mattern. The design space of wireless sensor networks. IEEE Wireless Communications, 11(6):54--61, Dec. 2004.
 
2
 
3
 
4
Liang Song and Dimitrios Hatzinakos. Architecture of wireless sensor networks with mobile sinks: Sparsely deployed sensors. IEEE Transactions on Vehicular Technology, 56(4):1826--1836, July 2007.
 
5
Prem Prakash Jayaraman, Arkady Zaslavsky, and Jerker Delsing. Sensor data collection using heterogeneous mobile devices. IEEE International Conference on Pervasive Services, pages 161--164, 15--20 July 2007.
 
6
 
7
Lars Kulik, Egemen Tanin, and Muhammad Umer. Efficient data collection and selective queries in sensor networks. 2nd International Conference on GeoSensor Networks, pages 25--44, October 2006.
 
8
Rui Teng, Bing Zhang, and Yasuo Tan. A study of localized on-demand data collection in sensor networks. 15th IEEE International Conference on Networks, pages 431--436, Nov. 2007.
 
9
David Tacconi, Iacopo Carreras, Daniele Miorandi, Imrich Chlamtac, Francesco Chiti, and Romano Rantacci. Supporting the sink mobility: a case study for wireless sensor networks. IEEE International Conference on Communications, ICC '07, 2007.
 
10
M. Battelli and S. Basagni. Localization for wireless sensor networks: Protocols and perspectives. Canadian Conference on Electrical and Computer Engineering, CCECE 2007, pages 1074--1077, April 2007.
 
11
 
12
J. Abdelzaher T. Chipara, O. Zhimin He Guoliang Xing Qin Chen Xiaorui Wang Chenyang Lu Stankovic. Real-time power-aware routing in sensor networks. 14th IEEE International Workshop on Quality of Service, IWQoS 2006, pages 83--92, June 2006.
 
13
Omnet++ discrete event simulation system. {Online}. Available: http://www.omnetpp.org.

Collaborative Colleagues:
Long Cheng: colleagues
Yimin Chen: colleagues
Canfeng Chen: colleagues
Jian Ma: colleagues