MobiRoute: Routing Towards a Mobile Sink for Improving Lifetime in Sensor Networks

Improving network lifetime is a fundamental challenge of wireless sensor networks. One possible solution consists in making use of mobile sinks. Whereas theoretical analysis shows that this approach does indeed benefit network lifetime, practical routing protocols that support sink mobility are still missing. In this paper, in line with our previous efforts, we investigate the approach that makes use of a mobile sink for balancing the traffic load and in turn improving network lifetime. We engineer a routing protocol, MobiRoute, that effectively supports sink mobility. Through intensive simulations in TOSSIM with a mobile sink and an implementation of MobiRoute, we prove the feasibility of the mobile sink approach by demonstrating the improved network lifetime in several deployment scenarios.

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

[2]  Charles E. Perkins,et al.  Ad hoc On-Demand Distance Vector (AODV) Routing , 2001, RFC.

[3]  Haiyun Luo,et al.  A two-tier data dissemination model for large-scale wireless sensor networks , 2002, MobiCom '02.

[4]  D. Culler,et al.  TYTHON : A DYNAMIC SIMULATION ENVIRONMENT FOR SENSOR NETWORKS , 2005 .

[5]  Emanuel Melachrinoudis,et al.  Exploiting Sink Mobility for Maximizing Sensor Networks Lifetime , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[6]  Jun Luo,et al.  mobility in wireless networks: friend or foe n etwork design and Control in the Age of m obile Computing , 2006 .

[7]  David E. Culler,et al.  TOSSIM: accurate and scalable simulation of entire TinyOS applications , 2003, SenSys '03.

[8]  John Anderson,et al.  An analysis of a large scale habitat monitoring application , 2004, SenSys '04.

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

[10]  Waylon Brunette,et al.  Data MULEs: modeling a three-tier architecture for sparse sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[11]  Mani B. Srivastava,et al.  Multiple Controlled Mobile Elements (Data Mules) for Data Collection in Sensor Networks , 2005, DCOSS.

[12]  Zhen Liu,et al.  Maximum lifetime routing in wireless ad-hoc networks , 2004, IEEE INFOCOM 2004.

[13]  Jun Luo,et al.  Joint mobility and routing for lifetime elongation in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[14]  S. Nash,et al.  Linear and Nonlinear Programming , 1987 .

[15]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[16]  David Tse,et al.  Mobility increases the capacity of ad hoc wireless networks , 2002, TNET.

[17]  Hyung Seok Kim,et al.  Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks , 2003, SenSys '03.

[18]  Bhaskar Krishnamachari,et al.  Learning-enforced time domain routing to mobile sinks in wireless sensor fields , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[19]  Milind Dawande,et al.  Energy efficient schemes for wireless sensor networks with multiple mobile base stations , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[20]  David E. Culler,et al.  Versatile low power media access for wireless sensor networks , 2004, SenSys '04.

[21]  Emanuel Melachrinoudis,et al.  Voronoi Diagram-Based Linear Programming Modeling of Wireless Sensor Networks with a Mobile Sink , 2005 .

[22]  David B. Johnson,et al.  The Dynamic Source Routing Protocol for Mobile Ad Hoc Networks , 2003 .

[23]  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).

[24]  Jun Luo Mobility in wireless networks: friend or foe , 2006 .

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

[26]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

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

[28]  Ioannis Papadimitriou,et al.  Maximum Lifetime Routing to Mobile Sink in Wireless Sensor Networks , 2005 .

[29]  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.

[30]  Wei Wang,et al.  Using mobile relays to prolong the lifetime of wireless sensor networks , 2005, MobiCom '05.

[31]  Matt Welsh,et al.  Simulating the power consumption of large-scale sensor network applications , 2004, SenSys '04.