Joint mobility and routing for lifetime elongation in wireless sensor networks

Although many energy efficient/conserving routing protocols have been proposed for wireless sensor networks, the concentration of data traffic towards a small number of base stations remains a major threat to the network lifetime. The main reason is that the sensor nodes located near a base station have to relay data for a large part of the network and thus deplete their batteries very quickly. The solution we propose in this paper suggests that the base station be mobile; in this way, the nodes located close to it change over time. Data collection protocols can then be optimized by taking both base station mobility and multi-hop routing into account. We first study the former, and conclude that the best mobility strategy consists in following the periphery of the network (we assume that the sensors are deployed within a circle). We then consider jointly mobility and routing algorithms in this case, and show that a better routing strategy uses a combination of round routes and short paths. We provide a detailed analytical model for each of our statements, and corroborate it with simulation results. We show that the obtained improvement in terms of network lifetime is in the order of 500%.

[1]  Jennifer C. Hou,et al.  On deriving the upper bound of α-lifetime for large sensor networks , 2004, MobiHoc '04.

[2]  Baochun Li,et al.  On the fundamental capacity and lifetime limits of energy-constrained wireless sensor networks , 2004, Proceedings. RTAS 2004. 10th IEEE Real-Time and Embedded Technology and Applications Symposium, 2004..

[3]  Jennifer C. Hou,et al.  Topology control in heterogeneous wireless networks: problems and solutions , 2004, IEEE INFOCOM 2004.

[4]  H. Sagan Space-filling curves , 1994 .

[5]  Matthew Lease,et al.  Making Sensor Networks Practical with Robots , 2002, Pervasive.

[6]  리우 젠,et al.  Maximum lifetime routing in wireless ad hoc networks , 2002 .

[7]  Jean-Pierre Hubaux,et al.  Minimum-energy broadcast in all-wireless networks: NP-completeness and distribution issues , 2002, MobiCom '02.

[8]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[9]  Jie Gao,et al.  Load-Balanced Short-Path Routing in Wireless Networks , 2006, IEEE Trans. Parallel Distributed Syst..

[10]  Srdjan Capkun,et al.  GPS-free Positioning in Mobile Ad Hoc Networks , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[11]  J. J. Garcia-Luna-Aceves,et al.  Topology management in ad hoc networks , 2003, MobiHoc '03.

[12]  B. R. Badrinath,et al.  Trajectory based forwarding and its applications , 2003, MobiCom '03.

[13]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[14]  M. Horton MICA: The Commercialization of Microsensor Motes , 2002 .

[15]  Paolo Santi,et al.  Investigating upper bounds on network lifetime extension for cell-based energy conservation techniques in stationary ad hoc networks , 2002, MobiCom '02.

[16]  Gaurav S. Sukhatme,et al.  Call and response: experiments in sampling the environment , 2004, SenSys '04.

[17]  Tarek F. Abdelzaher,et al.  Range-free localization schemes for large scale sensor networks , 2003, MobiCom '03.

[18]  Leandros Tassiulas,et al.  Energy conserving routing in wireless ad-hoc networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[19]  Murat Yuksel,et al.  An Implementation Framework for Trajectory-Based Forwarding in Ad-Hoc Networks , .

[20]  Abtin Keshavarzian,et al.  Load balancing in ad hoc networks: single-path routing vs. multi-path routing , 2004, IEEE INFOCOM 2004.

[21]  Thomas F. La Porta,et al.  Movement-assisted sensor deployment , 2004, IEEE INFOCOM 2004.

[22]  Peter P. Pham,et al.  Performance analysis of reactive shortest path and multipath routing mechanism with load balance , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[23]  Xiang-Yang Li,et al.  Localized low-weight graph and its applications in wireless ad hoc networks , 2004, IEEE INFOCOM 2004.

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

[25]  David E. Culler,et al.  Taming the underlying challenges of reliable multihop routing in sensor networks , 2003, SenSys '03.

[26]  Vikas Kawadia,et al.  Power control and clustering in ad hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[27]  Jie Lin,et al.  Towards mobility as a network control primitive , 2004, MobiHoc '04.

[28]  Murat Yuksel,et al.  An implementation framework for trajectory-based routing in ad-hoc networks , 2004, ICC.

[29]  Anantha Chandrakasan,et al.  Bounding the lifetime of sensor networks via optimal role assignments , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[30]  Mingyan Liu,et al.  A Modeling Framework for Computing Lifetime and Information Capacity in Wireless Sensor Networks , 2004 .

[31]  Jianping Pan,et al.  Topology control for wireless sensor networks , 2003, MobiCom '03.

[32]  Scott Shenker,et al.  Geographic routing without location information , 2003, MobiCom '03.

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

[34]  Leandros Tassiulas,et al.  Routing for network capacity maximization in energy-constrained ad-hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[35]  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).

[36]  Ossama Younis,et al.  Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach , 2004, IEEE INFOCOM 2004.

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

[38]  John Anderson,et al.  Wireless sensor networks for habitat monitoring , 2002, WSNA '02.

[39]  Paramvir Bahl,et al.  Analysis of a cone-based distributed topology control algorithm for wireless multi-hop networks , 2001, PODC '01.

[40]  Jan M. Rabaey,et al.  Data funneling: routing with aggregation and compression for wireless sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..