DCEP: Data Collection Strategy with the Estimated Paths in Ocean Delay Tolerant Network

Data collection is an important procedure of ocean monitoring systems. Due to limited bandwidth and extreme high cost of satellite communication, the majority of data is unable to transmit via satellites. For the moment, there are no efficient data collection methods provided for data collection in underwater sensor networks. After collecting and analyzing GPS data of 40 ships for two months, we find the mobility pattern of ships. On the basis of the mobility pattern, we propose a new data collection strategy for underwater sensor networks through delay tolerant routing. Through simulations and real data analysis, we provide quantitative analysis of the proposed strategy, such as data collection ratio, complexity of the algorithm and energy consumption. Especially, the data collection ratio on real data analysis could reach 95%–100% in acceptable time, which is 30% more than the radio of the strategy that data stored as they come.

[1]  Ellen W. Zegura,et al.  A message ferrying approach for data delivery in sparse mobile ad hoc networks , 2004, MobiHoc '04.

[2]  HeTian,et al.  Range-free localization and its impact on large scale sensor networks , 2005 .

[3]  Josef Stoer,et al.  Numerische Mathematik 1 , 1989 .

[4]  Oliver Brock,et al.  MV routing and capacity building in disruption tolerant networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[5]  Peter I. Corke,et al.  A Hybrid AUV Design for Shallow Water Reef Navigation , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[6]  Yunhao Liu,et al.  Sea Depth Measurement with Restricted Floating Sensors , 2007, 28th IEEE International Real-Time Systems Symposium (RTSS 2007).

[7]  Christophe Diot,et al.  Impact of Human Mobility on Opportunistic Forwarding Algorithms , 2007, IEEE Transactions on Mobile Computing.

[8]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[9]  H. Kuhn The Hungarian method for the assignment problem , 1955 .

[10]  Carl Oberg,et al.  A small submarine robot for experiments in underwater sensor networks , 2004 .

[11]  Chao Liu,et al.  Component-Based Cloud Computing Service Architecture for Measurement System , 2013, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing.

[12]  Yuan Li,et al.  Research challenges and applications for underwater sensor networking , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[13]  Tarek F. Abdelzaher,et al.  Range-free localization and its impact on large scale sensor networks , 2005, TECS.

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

[15]  Minglu Li,et al.  Recognizing Exponential Inter-Contact Time in VANETs , 2010, 2010 Proceedings IEEE INFOCOM.

[16]  Dario Pompili,et al.  Underwater acoustic sensor networks: research challenges , 2005, Ad Hoc Networks.

[17]  Brian Gallagher,et al.  MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[18]  Milica Stojanovic,et al.  Underwater Acoustic Digital Signal Processing and Communication Systems , 2002 .

[19]  Pan Hui,et al.  Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[20]  David E. Culler,et al.  Design of a wireless sensor network platform for detecting rare, random, and ephemeral events , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[21]  Rabin K. Patra,et al.  Routing in a delay tolerant network , 2004, SIGCOMM '04.

[22]  Gang Zhou,et al.  Achieving Real-Time Target Tracking UsingWireless Sensor Networks , 2006, 12th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'06).

[23]  HERO : Online Real-time Vehicle Tracking in Shanghai ٭ , 2008 .

[24]  Gaetano Borriello,et al.  Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks , 2006, Mob. Networks Appl..

[25]  Yunhao Liu,et al.  Sensor Network Navigation without Locations , 2009, INFOCOM.

[26]  Bo He,et al.  CVIS: Complex virtual instruments system architecture , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[27]  Dario Pompili,et al.  Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks , 2006, MobiCom '06.

[28]  Donald F. Towsley,et al.  Study of a bus-based disruption-tolerant network: mobility modeling and impact on routing , 2007, MobiCom '07.

[29]  Peter I. Corke,et al.  Data collection, storage, and retrieval with an underwater sensor network , 2005, SenSys '05.

[30]  Yuan Feng,et al.  CCSA: A Cloud Computing Service Architecture for Sensor Networks , 2012, 2012 International Conference on Cloud and Service Computing.

[31]  Leigh Burstein,et al.  Data Collection , 1985 .

[32]  Mario Gerla,et al.  The Meandering Current Mobility Model and its Impact on Underwater Mobile Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[33]  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.

[34]  Margaret Martonosi,et al.  Hardware design experiences in ZebraNet , 2004, SenSys '04.

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

[36]  Yunhao Liu,et al.  Sensor Network Navigation without Locations , 2013, IEEE Trans. Parallel Distributed Syst..

[37]  Yunhao Liu,et al.  Iso-Map: Energy-Efficient Contour Mapping in Wireless Sensor Networks , 2010, IEEE Trans. Knowl. Data Eng..

[38]  J. Rice,et al.  Underwater Acoustic Communications and Networks for the US Navy's Seaweb Program , 2008, 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008).