Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/1142680.1142697acmotherconferencesArticle/Chapter ViewAbstractPublication PagesintersenseConference Proceedingsconference-collections
Article

Adaptive sink mobility in event-driven multi-hop wireless sensor networks

Published: 30 May 2006 Publication History

Abstract

Optimizing energy consumption in wireless sensor networks is of paramount importance. There is a recent trend to deal with this problem by introducing mobile elements (sensors or sink nodes) in the network. The majority of these approaches assume time-driven scenarios and/or single-hop communication between participating nodes. However, there are several real-life applications for which an event-based and multi-hop operation is more appropriate. In this paper we propose to adaptively move the sink node inside the covered region, according to the evolution of current events, so as to minimize the energy consumption incurred by the multi-hop transmission of the event-related data. Both analytical and simulation results are given for two optimization strategies: minimizing the overall energy consumption, and minimizing the maximum load on a specific sensor respectively. We show that by adaptively moving the sink, significant power saving can be achieved, prolonging the lifetime of the network.

References

[1]
V. Raghunathan, C. Schurgers, S. Park, and M. Srivastava, "Energy aware wireless microsensor networks," IEEE Signal Processing Magazine, vol. 19, no. 2, pp. 40--50, Mar. 2002.
[2]
T. S. Rappaport, Wireless Commnications: Principle and Practice. Prentice Hall, 2002.
[3]
P. Bovet and S. Benhamou, "Spatial analysis of animals' movements using a correlated random walk model," Journal of Theoretical Biology, vol. 131, pp. 419--433, 1988.
[4]
C. M. Bergman, J. A. Schaefer, and S. N. Luttich, "Caribou movement as a correlated random walk," Oecologia, vol. 123, pp. 364--374, 2000.
[5]
J. Luo and J.-P. Hubaux, "Joint mobility and routing for lifetime elongation in wireless sensor networks," in Proc., IEEE INFOCOM 2005, Miami, FL, USA, Mar. 2005.
[6]
J.-H. Chang and L. Tassiulas, "Energy conserving routing in wireless ad-hoc networks," in Proc., IEEE INFOCOM 2000, vol. 1, Tel Aviv, Israel, Mar. 2000, pp. 22--31.
[7]
G. Zussman and A. Segall, "Energy efficient routing in ad hoc disaster recovery networks," in Proc., IEEE INFOCOM 2003, San Francisco, CA, USA, Apr. 2003, pp. 405--421.
[8]
K. Kar, M. Kodialam, T. V. Lakshman, and L. Tassiulas, "Routing for network capacity maximization in energy-constrained ad-hoc networks," in Proc., IEEE INFOCOM 2003, San Francisco, CA, USA, Mar. 2003, pp. 673--681.
[9]
A. Sankar and Z. Liu, "Maximum lifetime routing in wireless ad-hoc networks," in Proc., IEEE INFOCOM 2004, Hong Kong, Mar. 2004.
[10]
J. Pan, Y. T. Hou, Y. S. Lin Cai, and S. X. Shen, "Topology control for wireless sensor networks," in Proc., 9th Annual International Conference on Mobile Computing and Networking, San Diego, CA, USA, Sept. 2003, pp. 286--299.
[11]
N. Li and J. C. Hou., "Topology control in heterogeneous wireless networks: Problems and solutions," in Proc., IEEE INFOCOM 2004, Hong Kong, Mar. 2004.
[12]
R. Wattenhofer, L. Li, P. Bahl, and Y. Wang, "Distributed topology control for wireless multihop ad hoc networks," in Proc., IEEE INFOCOM 2001, Anchorage, Alaska, USA, Apr. 2001, pp. 1388--1397.
[13]
R. Ramanathan and R. Rosales-Hain, "Topology control of multihop wireless networks using transmit power adjustment," in Proc., IEEE INFOCOM 2000, Tel Aviv, Israel, Mar. 2000, pp. 404--413.
[14]
A. Cerpa and D. Estrin, "ASCENT: Adaptive self-configuring sensor networks topologies," in Proc., IEEE INFOCOM 2002, vol. 3, New York, NY, USA, June 2002, pp. 1278--1287.
[15]
V. Kawadia and P. Kumar, "Power control and clustering in ad hoc networks," in Proc. IEEE INFOCOM 2003, San Francisco, CA, USA, Apr. 2003, pp. 459--469.
[16]
O. Younis and S. Fahmy, "Distributed clustering in ad-hoc sensor networks: A hybrid, energy efficient solution," in Proc., IEEE INFOCOM 2004, Hong Kong, Mar. 2004.
[17]
Z. Butler and D. Rus, "Event-based motion control for mobile-sensor networks," IEEE Pervasive Computing, vol, 2, no. 4, pp. 34--42, Oct.-Nov. 2003.
[18]
G. Wang, G. Cao, and T. Porta, "Movement-assisted sensor deployment," in Proc., IEEE INFOCOM 2004, Hong Kong, 2004.
[19]
K. Sohrabi, J. Gao, V. Ailawadhi, and G. Pottie, "Protocols for self-organization of a wireless sensor network," IEEE Personal Communications, vol. 7, no. 5, pp. 16--27, Oct. 2000.
[20]
S. J. Rahul C. Shah, Sumit Roy and W. Brunette, "Data MULEs: Modeling a three-tier architecture for sparse sensor networks," in Proc., IEEE Workshop on Sensor Network Protocols and Applications (SNPA), Anchorage, alaska, USA, May 2003, pp. 30--41.
[21]
L. Tong, Q. Zhao, and S. Adireddy, "Sensor networks with mobile agents," in Proc., IEEE MILCOM 2003, vol. 22, no. 1, Boston, MA, USA, Oct. 2003, pp. 688--693.
[22]
S. Jain, R. C. Shah, G. Borriello, W. Brunette, and S. Roy, "Exploiting mobility for energy efficient data collection in sensor networks," in Proc., 2nd IEEE/ACM Workshop on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), Cambridge, UK, Mar. 2004.
[23]
H. S. Kim and T. F. Abdelzaher, "Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks," in Proc., ACM SENSYS, Los Angeles, CA, Nov. 2003.
[24]
A. Chakrabarti, A. Sabharwal, and B. Aazbang, "Using predictable observer mobility for power efficient design of sensor networks," in Proc., 2nd Int. Workshop on Information Processing in Sensor Networks (IPSN), Palo Alto, CA, USA, Apr. 2003, pp. 129--145, also in Lecture Notes in Computer Science, Vol. & (NO) (2634), pp. 129--145.
[25]
A. Kansal, M. Rahimi, W. J. Kaiser, M. B. Srivastava, G. J. Pottie, and D. Estrin, "Controlled mobility for sustainable wireless networks," in Proc., IEEE Sensor and Ad Hoc Communications and Networks (SECON), Santa Clara, CA, Oct. 2004.
[26]
A. Kansal, A. Somasundara, D. Jea, M. B. Srivastava, and D. Estrin, "Intelligent fluid infrastructure for embedded networks," in Proc., ACM MOBISYS 2004, Boston, MA, USA, June 2004, pp. 111--124.
[27]
W. Zhao and M. Ammar, "Message ferrying: Proactive routing in highly-partioned wireless ad hoc networks," in Proc. of the 9th IEEE Workshop on Future Trends in Distributed Computed Systems (FTDCS 2003), San Juan, Puerto Rico, May 2003, pp. 308--314.
[28]
S. R. Gandham, M. Dawande, R. Prakash, and S. Venkatesm, "Energy efficient schemes for wireless sensor networks with multiple mobile base stations," in Proc., IEEE GLOBECOM 2003, vol. 22, no. 1, San Francisco, CA, USA, Dec. 2003, pp. 377--381.
[29]
Z. M. Wang, S. Basagni, E. Melachrinoudis, and C. Petrioli, "Exploiting sink mobility for maximizing sensor networks lifetime," in Proc., 38th Hawaii International Conference on System Sciences, Big Island, Hawaii, Jan. 2005.
[30]
A. Bogdanov, E. Maneva, and S. Riesenfeld, "Power-aware base station positioning for sensor networks," in Proc., IEEE INFOCOM 2004, Hong Kong, Mar. 2004.
[31]
J. Pan, L. Cai, T. Hou, Y. Shi, and X. Shen, "Optimal base-station locations in two-tiered wireless sensor networks," 2005, to appear in IEEE Transactions on Mobile Computing.
[32]
N. Megiddo, "The weighted Euclidean 1 -center problem," Mathematics of Operations Research, vol. 8, no. 4, pp. 498--504, 1983.
[33]
F. Kuhn, R. Wattenhofer, and S. A. Zollinger, "Worst-case optimal and average-case efficient geometric ad-hoc routing," in Proc., Proceedings of the 4th ACM international symposium on Mobile ad hoc networking computing, 2003, Annapolis, Maryland, USA, 2003, pp. 267--278.
[34]
F. Ye, H. Luo, J. Cheng, S. Lu, and L. Zhang, "A twotier data dissemination model for large-scale wireless sensor networks," in Proc., ACM MOBICOM 2002, Atlanta, GA, USA, Sept. 2002, pp. 148--159.

Cited By

View all
  • (2021)Fuzzy Logic-Based Path Planning for Data Gathering Mobile Sinks in WSNsIEEE Access10.1109/ACCESS.2021.30945419(96002-96020)Online publication date: 2021
  • (2021)Formal Verification of a Hybrid IoT Operating System ModelIEEE Access10.1109/ACCESS.2021.30733989(59171-59183)Online publication date: 2021
  • (2019)Energy Aware Localized Routing in Rendezvous Point Based Mobile Sink Strategy for Wireless Sensor Networks2019 Innovations in Power and Advanced Computing Technologies (i-PACT)10.1109/i-PACT44901.2019.8960021(1-6)Online publication date: Mar-2019
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
InterSense '06: Proceedings of the first international conference on Integrated internet ad hoc and sensor networks
May 2006
206 pages
ISBN:1595934278
DOI:10.1145/1142680
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Create-Net
  • EU (IST-FET)
  • ICST

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 May 2006

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Article

Acceptance Rates

InterSense '06 Paper Acceptance Rate 27 of 27 submissions, 100%;
Overall Acceptance Rate 27 of 27 submissions, 100%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)1
  • Downloads (Last 6 weeks)0
Reflects downloads up to 03 Oct 2024

Other Metrics

Citations

Cited By

View all
  • (2021)Fuzzy Logic-Based Path Planning for Data Gathering Mobile Sinks in WSNsIEEE Access10.1109/ACCESS.2021.30945419(96002-96020)Online publication date: 2021
  • (2021)Formal Verification of a Hybrid IoT Operating System ModelIEEE Access10.1109/ACCESS.2021.30733989(59171-59183)Online publication date: 2021
  • (2019)Energy Aware Localized Routing in Rendezvous Point Based Mobile Sink Strategy for Wireless Sensor Networks2019 Innovations in Power and Advanced Computing Technologies (i-PACT)10.1109/i-PACT44901.2019.8960021(1-6)Online publication date: Mar-2019
  • (2019)Energy conservative mobile sink path routing for wireless sensor networks2019 International Conference on Smart Structures and Systems (ICSSS)10.1109/ICSSS.2019.8882871(1-6)Online publication date: Mar-2019
  • (2019)Message Dissemination Using Nomadic Lévy Walk on Unit Disk GraphsComplex, Intelligent, and Software Intensive Systems10.1007/978-3-030-22354-0_13(136-147)Online publication date: 21-Jun-2019
  • (2017)A clustered trail-based data dissemination protocol for improving the lifetime of duty cycle enabled wireless sensor networksWireless Networks10.1007/s11276-015-1089-723:1(177-192)Online publication date: 1-Jan-2017
  • (2016)Energy-efficient and self-adaptive routing algorithm based on event-driven in wireless sensor networkInternational Journal of Grid and Utility Computing10.1504/IJGUC.2016.0737767:1(41-49)Online publication date: 1-Dec-2016
  • (2016)A Survey of various Sink Mobility based Techniques in Wireless Sensor NetworkProceedings of the ACM Symposium on Women in Research 201610.1145/2909067.2909075(45-50)Online publication date: 21-Mar-2016
  • (2016)Path planning of mobile sinks in charge of data gathering: A coalitional game theory approach2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC)10.1109/PCCC.2016.7820637(1-8)Online publication date: Dec-2016
  • (2016)Autonomous path based data acquisition in sensor networksThe Journal of Supercomputing10.1007/s11227-016-1745-472:10(4021-4042)Online publication date: 1-Oct-2016
  • Show More Cited By

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media