SinkTrail: A Proactive Data Reporting Protocol for Wireless Sensor Networks

In large-scale Wireless Sensor Networks (WSNs), leveraging data sinks' mobility for data gathering has drawn substantial interests in recent years. Current researches either focus on planning a mobile sink's moving trajectory in advance to achieve optimized network performance, or target at collecting a small portion of sensed data in the network. In many application scenarios, however, a mobile sink cannot move freely in the deployed area. Therefore, the precalculated trajectories may not be applicable. To avoid constant sink location update traffics when a sink's future locations cannot be scheduled in advance, we propose two energy-efficient proactive data reporting protocols, SinkTrail and SinkTrail-S, for mobile sink-based data collection. The proposed protocols feature low-complexity and reduced control overheads. Two unique aspects distinguish our approach from previous ones: 1) we allow sufficient flexibility in the movement of mobile sinks to dynamically adapt to various terrestrial changes; and 2) without requirements of GPS devices or predefined landmarks, SinkTrail establishes a logical coordinate system for routing and forwarding data packets, making it suitable for diverse application scenarios. We systematically analyze the impact of several design factors in the proposed algorithms. Both theoretical analysis and simulation results demonstrate that the proposed algorithms reduce control overheads and yield satisfactory performance in finding shorter routing paths.

[1]  Attila Vidács,et al.  Efficient routing to mobile sinks in wireless sensor networks , 2007, WICON '07.

[2]  Murat Demirbas,et al.  Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks , 2010, DCOSS.

[3]  Roger Wattenhofer,et al.  Convergence to Equilibrium in Local Interaction Games , 2008, 2009 50th Annual IEEE Symposium on Foundations of Computer Science.

[4]  Chenyang Lu,et al.  Spatiotemporal multicast in sensor networks , 2003, SenSys '03.

[5]  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..

[6]  Zhen Li,et al.  Practical deployment of an in-field soil property wireless sensor network , 2014, Comput. Stand. Interfaces.

[7]  Bing-Hong Liu,et al.  Constructing a Message-Pruning Tree with Minimum Cost for Tracking Moving Objects in Wireless Sensor Networks Is NP-Complete and an Enhanced Data Aggregation Structure , 2008, IEEE Transactions on Computers.

[8]  Yuanyuan Yang,et al.  Mobile Data Gathering with Space-Division Multiple Access in Wireless Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[9]  Mani B. Srivastava,et al.  Mobile element scheduling for efficient data collection in wireless sensor networks with dynamic deadlines , 2004, 25th IEEE International Real-Time Systems Symposium.

[10]  Hewijin Christine Jiau,et al.  A Dead-End Free Topology Maintenance Protocol for Geographic Forwarding in Wireless Sensor Networks , 2011, IEEE Transactions on Computers.

[11]  Guoliang Xing,et al.  Sidewinder: A Predictive Data Forwarding Protocol for Mobile Wireless Sensor Networks , 2009, 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[12]  Devavrat Shah,et al.  Oblivious Routing with Mobile Fusion Centers over a Sensor Network , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[13]  Stephen M. McGarry,et al.  Declarative ad-hoc sensor networking , 2000, SPIE Optics + Photonics.

[14]  S. D. Reed,et al.  Real-time sensing and N fertilization with a field scale greenseekerTM applicator. , 2003 .

[15]  Emanuel Melachrinoudis,et al.  Controlled sink mobility for prolonging wireless sensor networks lifetime , 2008, Wirel. Networks.

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

[17]  Yuanyuan Yang,et al.  Bounded Relay Hop Mobile Data Gathering in Wireless Sensor Networks , 2012, IEEE Transactions on Computers.

[18]  Xiaoqiao Meng,et al.  Real-time forest fire detection with wireless sensor networks , 2005, Proceedings. 2005 International Conference on Wireless Communications, Networking and Mobile Computing, 2005..

[19]  Daeyoung Kim,et al.  Energy efficient and seamless data collection with mobile sinks in massive sensor networks , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

[20]  Mohamed F. Younis,et al.  Energy-aware routing in cluster-based sensor networks , 2002, Proceedings. 10th IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems.

[21]  Murat Demirbas,et al.  Data Salmon: A Greedy Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks , 2007, DCOSS.

[22]  Songwu Lu,et al.  GRAdient Broadcast: A Robust Data Delivery Protocol for Large Scale Sensor Networks , 2005, Wirel. Networks.

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

[24]  Yuanyuan Yang,et al.  Efficient Data Gathering with Mobile Collectors and Space-Division Multiple Access Technique in Wireless Sensor Networks , 2011, IEEE Transactions on Computers.

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

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

[27]  David E. Culler,et al.  Beacon vector routing: scalable point-to-point routing in wireless sensornets , 2005, NSDI.

[28]  Yuanyuan Yang,et al.  Data gathering in wireless sensor networks with mobile collectors , 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.

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