Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks
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We analyze an architecture based on mobility to address the problem of energy efficient data collection in a sensor network. Our approach exploits mobile nodes present in the sensor field as forwarding agents. As a mobile node moves in close proximity to sensors, data is transferred to the mobile node for later depositing at the destination. We present an analytical model to understand the key performance metrics such as data transfer, latency to the destination, and power. Parameters for our model include: sensor buffer size, data generation rate, radio characteristics, and mobility patterns of mobile nodes. Through simulation we verify our model and show that our approach can provide substantial savings in energy as compared to the traditional ad-hoc network approach.
- P. Juang, H. Oki, Y. Wang, M. Martonosi, D. Rubenstein and L. Peh, Energy-efficient computing for wildlife tracking: Design tradeoffs and early experiences with zebranet, in ASPLOS-X, (October 2002).
- A. Beaufour, M. Leopold and P. Bonnet, Smart-tag based data dissemination, in WSNA (Atlanta, GA, Sept. 2002).
- A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler and J. Anderson, Wireless sensor networks for habitat monitoring, in WSNA (Atlanta, GA, Sept. 2002).
- R.C. Shah, S. Roy, S. Jain and W. Brunette, Data mules: Modeling a three-tier architecture for sparse sensor networks, in SNPA, (Anchorage, Alaska, May 2003).
- M. Grossglauser and D. Tse, Mobility increases the capacity of ad-hoc wireless networks, in Trans, on networking, vol. 10(4) (Aug. 2002).
- I. Chatzigiannakis, S. Nikoletseas and P. Spirakis, An efficient communication strategy for ad-hoc mobile networks, in Principles of Distributed Computing (ACM Press, 2001) pp. 320–322.
- A. Vahdat and D. Becker, Epidemic routing for partially-connected ad hoc networks, in TR (Duke university, 2000).
- Q. Li and D. Rus, Sending messages to mobile users in disconnected ad-hoc wireless networks, in Mobicom (ACM Press, 2000) pp. 44–55.
- R.H. Frenkiel, B.R. Badrinath, J. Borras and R. Yates, Infestations challenge: Balancing cost and ubiquity in delivering wireless data, in IEEE Personal Communications (April 2000).
- B. Chen, K. Jamieson, H. Balakrishnan and R. Morris, Span: An energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks, in Mobicom (Rome, Italy, July 2001) pp. 85–96.
- F. Ye, H. Luo, J. Cheng, S. Lu and L. Zhang, A two-tier data dissemination model for large-scale wireless sensor networks, in Mobicom (ACM Press, 2002) pp. 148–159.
- S. Jain, R. Shah, W. Brunnette, G. Borriello and S. Roy, Exploiting mobility for energy efficient data collection in sensor networks, Tech. Rep. UW-CSE-03-06-04, UW-CSE(2003).
- M.L. Chaudhry and J.G.C. Templeton, A First Course in Bulk Queues (John Wiley and Sons, 1983).
- G. Hebuterne and C. Rosenberg, Arrival and departures in the general bulk-service system, in Naval Research Logistics ed-Vol45 (John Wiley, 1998).
- S.M. Ross, Introduction to Probability Models (Academic Press, 2001).
- D.P. Heyman and M.J. Sobel, Stochastic Models in Operations Research, vol. 1 (McGraw Hill, NY, 1982).
- W. Heinzelman, Application-specific protocol architectures for wireless networks, Phd thesis, mit (2000).
- S. Singh, M. Woo and C.S. Raghavendra, Power-aware routing in mobile ad hoc networks, in Mobicom (ACM Press, 1998) pp. 181–190.
- P. Gupta and P.R. Kumar, The capacity of wireless networks, in IEEE Transactions on Information Theory, vol. 46(2) (March 2000).
- K. Fall, A Delay Tolerant Network Architecture for Challenged Internet, in Sigcomm (Kalrushe, Germany, July 2003).
- Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks
Mobile Networks and Applications
Volume 11, Issue 3 , pp 327-339
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- stochastic processes
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- 1. Computer Science and Engineering, University of Washington, Box 352350, Seattle, WA, 98195
- 2. University of California, 2108 Allston Way, Suite 200, Berkeley, CA, 94704
- 3. Department of Electrical Engineering, University of Washington, Box 352500, Seattle, WA, 98195