Controlled mobility for sustainable wireless sensor networks

A key challenge in sensor networks is ensuring the sustainability of the system at the required performance level, in an autonomous manner. Sustainability is a major concern because of severe resource constraints in terms of energy, bandwidth and sensing capabilities in the system. In this paper, we envision the use of a new design dimension to enhance sustainability in sensor networks - the use of controlled mobility. We argue that this capability can alleviate resource limitations and improve system performance by adapting to deployment demands. While opportunistic use of external mobility has been considered before, the use of controlled mobility is largely unexplored. We also outline the research issues associated with effectively utilizing this new design dimension. Two system prototypes are described to present first steps towards realizing the proposed vision.

[1]  Suhas Diggavi,et al.  Even one-dimensional mobility increases ad hoc wireless capacity , 2002, Proceedings IEEE International Symposium on Information Theory,.

[2]  Vinton G. Cerf,et al.  Delay-tolerant networking: an approach to interplanetary Internet , 2003, IEEE Commun. Mag..

[3]  Matthias Grossglauser,et al.  Age matters: efficient route discovery in mobile ad hoc networks using encounter ages , 2003, MobiHoc '03.

[4]  Izhak Rubin,et al.  TBONE: A mobile-backbone protocol for ad hoc wireless networks , 2002, Proceedings, IEEE Aerospace Conference.

[5]  Alex Pentland,et al.  DakNet: rethinking connectivity in developing nations , 2004, Computer.

[6]  Zygmunt J. Haas,et al.  The shared wireless infostation model: a new ad hoc networking paradigm (or where there is a whale, there is a way) , 2003, MobiHoc '03.

[7]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[8]  William J. Kaiser,et al.  Autonomous Position Location in Distributed, Embedded, Wireless Systems , 2002 .

[9]  Qun Li,et al.  Sending messages to mobile users in disconnected ad-hoc wireless networks , 2000, MobiCom '00.

[10]  Devavrat Shah,et al.  Throughput-delay trade-off in wireless networks , 2004, IEEE INFOCOM 2004.

[11]  Gaurav S. Sukhatme,et al.  Robomote: a tiny mobile robot platform for large-scale ad-hoc sensor networks , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[12]  Yong Wang,et al.  Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet , 2002, ASPLOS X.

[13]  Deborah Estrin,et al.  Intelligent fluid infrastructure for embedded networks , 2004, MobiSys '04.

[14]  Gaurav S. Sukhatme,et al.  Adaptive sampling for environmental robotics , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[15]  David Tse,et al.  Mobility increases the capacity of ad-hoc wireless networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[16]  G. Pottie,et al.  Near ground wideband channel measurement in 800-1000 MHz , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[17]  Deepak Bansal,et al.  Characterization of mobility patterns based on cell topography in a cellular radio system , 1999, 1999 IEEE International Conference on Personal Wireless Communications (Cat. No.99TH8366).

[18]  Gaurav S. Sukhatme,et al.  Networked Infomechanical Systems (NIMS) for Ambient Intelligence , 2005, Ambient Intelligence.

[19]  Mani B. Srivastava,et al.  Self aware actuation for fault repair in sensor networks , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[20]  W.J. Kaiser,et al.  Sensing uncertainty reduction using low complexity actuation , 2003, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[21]  Ashutosh Sabharwal,et al.  Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks , 2003, IPSN.

[22]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[23]  Gaurav S. Sukhatme,et al.  Studying the feasibility of energy harvesting in a mobile sensor network , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[24]  Waylon Brunette,et al.  Data MULEs: modeling and analysis of a three-tier architecture for sparse sensor networks , 2003, Ad Hoc Networks.