Article

Robomote: enabling mobility in sensor networks

Authors:

Mohammad Rahimi,

Gaurav S. SukhatmeAuthors Info & Claims

IPSN '05: Proceedings of the 4th international symposium on Information processing in sensor networks

Pages 55 - es

Published: 24 April 2005 Publication History

Abstract

Severe energy limitations, and a paucity of computation pose a set of difficult design challenges for sensor networks. Recent progress in two seemingly disparate research areas namely, distributed robotics and low power embedded systems has led to the creation of mobile (or robotic) sensor networks. Autonomous node mobility brings with it its own challenges, but also alleviates some of the traditional problems associated with static sensor networks. We illustrate this by presenting the design of the robomote, a robot platform that functions as a single mobile node in a mobile sensor network. We briefly describe two case studies where the robomote has been used for table top experiments with a mobile sensor network.

References

[1]

Joseph Kahn, Randy Katz, and Kris Pister, "Next century challenges: Mobile networking for smart dust," in Proceedings of Mobile Computing and Networking, Seattle, WA, USA., August 1999, ACM.

Digital Library

[2]

Deborah Estrin, Ramesh Govindan, and John Heidemann, "Embedding the Internet," Communications of the ACM, vol. 43, no. 5, pp. 39--41, May 2000, (special issue guest editors).

Digital Library

[3]

Greg Pottie and William J. Kaiser, "Wireless integrated network sensors," Communications of the ACM, vol. 43, no. 5, pp. 551--8, May 2000.

Digital Library

[4]

National Research Council Staff, Embedded Everywhere: A Research Agenda for Networked Systems of Embedded Computers, National Academy Press, 2001.

Digital Library

[5]

Andrew Howard, Maja Mataric, and Gaurav S. Sukhatme, "Self-deployment algorithm for mobile sensor networks," Autonomous Robots - Special Issue on Intelligent Embedded Systems, vol. 13, no. 2, pp. 113--126, 2002.

Digital Library

[6]

Sameera Poduri and Gaurav Sukhatme, "Constrained coverage for mobile sensor networks," in Proceedings of the IEEE International Conference on Robotics and Automation, Apr. 2004.

[7]

Maxim Batalin, Mohammad Rahimi, Yan Yu, Duo Liu, Aman Kansal, Gaurav Sukhatme, William Kaiser, Mark Hansen, Gregory J Pottie, Mani Srivastava, and Deborah Estrin, "Call and response: Experiments in sampling the environment," in Proceedings of 2nd Annual Conference on Sensors and Systems (Sensys 2004), Baltimore, MD, USA., November 2004, ACM.

Digital Library

[8]

Mohammad H. Rahimi, Hardik Shah, Gaurav S. Sukhatme, John Heidemann, and Deborah Estrin, "Energy harvesting in mobile sensor networks," in Proceedings of the IEEE International Conference on Robotics and Automation, Taipei, Taiwan, September 2003.

[9]

Gabriel T. Sibley, Mohammad H. Rahimi, and Gaurav S. Sukhatme, "A tiny mobile robot platform for large-scale sensor networks," in Proceedings of the IEEE International Conference on Robotics and Automation, Washington DC, USA, May 2002.

[10]

James McLurkin, "The ants: A community of microrobots," http://people.csail.mit.edu/people/jamesm/McLurkin -- SB -- MIT -- 1995.pdf.

[11]

L. E. Navarro-Serment, R. Grabowski, C. J. J. Paredis, and P. K. Khosla, "Millibots: The development of a framework and algorithms for a distributed heterogeneous robot team," December 2002.

[12]

K-Team, "Khepera-ii user manual," http://www.k--team.com/download/khepera/documentation/Kh2UserManual.pdf.

[13]

S. Bergbreiter and K. S. J. Pister, "Cotsbots: An off-the-shelf platform for distributed robotics," in In Proceedings of IEEE IROS. October 2003, IEEE.

[14]

M. B. McMickell, B. Goodwine, and L. A. Montestruque, "Micabot: a robotic platform for large-scale distributed robotics," in In Proceedings of IEEE International Conference on Robotics and Automation(ICRA). Sept 2003, IEEE.

[15]

Jason Hill, Robert Szewczyk, Alec Woo, Seth Hollar, David Culler, and Kris Pister, "System architecture directions for networked sensors," in Proceedings of Architectural Support for Programming Languages and Operating Systems-IX, Cambridge, MA, USA., Nov. 2000, ACM.

Digital Library

[16]

Philip Levis, Sam Madden, David Gay, Joseph Polastre, Rob Schezwyk, Alec Woo, Eric Brewer, and David Culler, "The emergence of networking abstractions and techniques in tinyos," in In Proceedings of the First USENIX/ACM Symposium on Networked Systems Design and Implementation (NSDI 2004), San Francisco, CA, USA., April 2004, ACM.

Digital Library

[17]

Joseph Polastre, Robert Szewczyk, Cory Sharp, and David Culler, "The mote revolution: Low power wireless sensor network devices," in In Proceedings of Hot Chips 16: A Symposium on High Performance Chips, August 2004.

[18]

Howie Choset, Ilhan Konukseven, and Alfred Rizzi, "Sensor based planing: A control law for generating the generalized voronoi graph," in IEEE International Conference in Advanced Robotics, 1997.

[19]

Mohammad Rahimi, Rohit Mediratta, Karthik Dantu, and Gaurav Sukhatme, "A testbed for experiments with sensor/actuator networks," Tech. Rep. IRIS-02-417, Institute for Robotics and Intelligent Systems, 2002.

[20]

Amit Dhariwal, Gaurav S. Sukhatme, and Aristides A. Requicha, "Bacterium-inspired robots for environmental monitoring," in IEEE International Conference on Robotics and Automation, April 2004.

[21]

Rodney Brooks, "A robust layered control system for a mobile robot," International Journal of Robotics and Automation, vol. 2, pp. 14--23, 1986.

[22]

Sebastian Thrun, Dieter Fox Wolfram Burgard, and Frank Dellaert, "Robust monte carlo localization for mobile robots," Artificial Intelligence (AIJ), 2001.

Digital Library

[23]

Maxim Batalin and G. S. Sukhatme, "Coverage, exploration and deployment by a mobile robot and communication network," in Proceedings of the 2nd International Workshop on Information Processing in Sensor Networks, Palo Alto Research Center (PARC) Palo Alto, CA, USA, April 2003, pp. 376--391.

Digital Library

[24]

Jonathan Hui and David Culler, "The dynamic behaviour of data dissemination protocol of network programming at scale," in Proceedings of second annual conference in Sensors and Systems (Sensys), Baltimore, MD, USA., November 2004, ACM.

Digital Library

[25]

Philip Levis, David Gay, and David Culler, "Active sensor networks," in In Proceedings of Usenix Network Systems Design and Implementation(NSDI), Boston, MA, USA., May 2005, Usenix.

Digital Library

Cited By

De Vit AMarcon CNunes RWebber TSanchez GRolim CHaddad HWainwright RChbeir R(2018)Energy saving on DTN using trajectory inference modelProceedings of the 33rd Annual ACM Symposium on Applied Computing10.1145/3167132.3167437(2132-2135)Online publication date: 9-Apr-2018
https://dl.acm.org/doi/10.1145/3167132.3167437
Mondal KMandal P(2017)Range-Free Mobile Sensor Localization and a Novel Obstacle Detection TechniqueWireless Personal Communications: An International Journal10.1007/s11277-016-3547-792:2(351-380)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11277-016-3547-7
Lu DLi ZHuang DLu XDeng YChowdhary ALi BGerla MAltintas OCasetti CFrank R(2016)VC-botsProceedings of the First International Workshop on Internet of Vehicles and Vehicles of Internet10.1145/2938681.2938683(31-36)Online publication date: 4-Jul-2016
https://dl.acm.org/doi/10.1145/2938681.2938683
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Robomote: enabling mobility in sensor networks

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Published In

cover image ACM Conferences

IPSN '05: Proceedings of the 4th international symposium on Information processing in sensor networks

April 2005

475 pages

ISBN:0780392027

Conference Chairs:
Martin Vetterli
EPFL
,
Kung Yao
UCLA

Sponsors

IEEE Signal Processing Society
SIGBED: ACM Special Interest Group on Embedded Systems

Publisher

IEEE Press

Publication History

Published: 24 April 2005

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Conference

IPSN/SPOTS05

Sponsor:

SIGBED

IPSN/SPOTS05: The Fourth International Conference on Information Processing in Sensor Networks

April 24 - 27, 2005

California, Los Angeles

Acceptance Rates

IPSN '05 Paper Acceptance Rate 71 of 276 submissions, 26%;

Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

De Vit AMarcon CNunes RWebber TSanchez GRolim CHaddad HWainwright RChbeir R(2018)Energy saving on DTN using trajectory inference modelProceedings of the 33rd Annual ACM Symposium on Applied Computing10.1145/3167132.3167437(2132-2135)Online publication date: 9-Apr-2018
https://dl.acm.org/doi/10.1145/3167132.3167437
Mondal KMandal P(2017)Range-Free Mobile Sensor Localization and a Novel Obstacle Detection TechniqueWireless Personal Communications: An International Journal10.1007/s11277-016-3547-792:2(351-380)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11277-016-3547-7
Lu DLi ZHuang DLu XDeng YChowdhary ALi BGerla MAltintas OCasetti CFrank R(2016)VC-botsProceedings of the First International Workshop on Internet of Vehicles and Vehicles of Internet10.1145/2938681.2938683(31-36)Online publication date: 4-Jul-2016
https://dl.acm.org/doi/10.1145/2938681.2938683
Rowaihy HBinSahaq A(2016)Performance of GPSR and AOMDV in WSNs with Uncontrolled MobilityProcedia Computer Science10.1016/j.procs.2016.09.01098:C(48-55)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.procs.2016.09.010
Mohapatra SSahoo PWu S(2016)Big data analytic architecture for intruder detection in heterogeneous wireless sensor networksJournal of Network and Computer Applications10.1016/j.jnca.2016.03.00466:C(236-249)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1016/j.jnca.2016.03.004
Wu FGui YWang ZGao XChen G(2016)A survey on barrier coverage with sensorsFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-016-5532-410:6(968-984)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1007/s11704-016-5532-4
Wang Y(2014)Mobile Sensor NetworksACM Computing Surveys10.1145/261766247:1(1-36)Online publication date: 1-Jun-2014
https://dl.acm.org/doi/10.1145/2617662
Mohamed MKhokhar ATrajcevski G(2013)Energy Efficient In-Network Data Indexing for Mobile Wireless Sensor NetworksProceedings of the 13th International Symposium on Advances in Spatial and Temporal Databases - Volume 809810.5555/2960717.2960730(165-182)Online publication date: 21-Aug-2013
https://dl.acm.org/doi/10.5555/2960717.2960730
Guvensan MYavuz A(2013)Hybrid movement strategy in self-orienting directional sensor networksAd Hoc Networks10.1016/j.adhoc.2012.11.01111:3(1075-1090)Online publication date: 1-May-2013
https://dl.acm.org/doi/10.1016/j.adhoc.2012.11.011
Mondal KMandal P(2013)Range-free mobile node localization using static anchorProceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications10.1007/978-3-642-39701-1_23(269-284)Online publication date: 7-Aug-2013
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