Data Collection Using Transmit-Only Sensors and a Mobile Robot in Wireless Sensor Networks

Wireless sensor networks are deployed in large numbers to monitor an area of interest. To overcome the scalability issues of large scale wireless sensor networks, mobile robots are introduced. Transmit-only sensors reduce the cost of deployment since they do not need receiver circuit. However, transmit-only sensors can not be used in a homogeneous sensor network since none of the nodes can receive data. In this paper, we propose a framework consisting of transmit-only sensors and a mobile element for data collection. We theoretically analyze the proposed framework, and support it with extensive simulations. We investigate the effect of various system parameters including density of nodes, speed of mobile element, and range of sensors. This work shows that the usage of transmit-only sensors together with a mobile robot is practical.

[1]  Damla Turgut,et al.  Heuristic Approaches for Transmission Scheduling in Sensor Networks with Multiple Mobile Sinks , 2011, Comput. J..

[2]  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.

[3]  Chunming Qiao,et al.  Providing Reliable Data Services in Hybrid WSNs with Transmit-Only Nodes , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[4]  Mostafa H. Ammar,et al.  Message ferrying: proactive routing in highly-partitioned wireless ad hoc networks , 2003, The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems, 2003. FTDCS 2003. Proceedings..

[5]  Zhaohui Yuan,et al.  Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks , 2010, IEEE Transactions on Parallel and Distributed Systems.

[6]  Sajal K. Das,et al.  Data Collection in Wireless Sensor Networks with Mobile Elements: A Survey , 2011, TOSN.

[7]  I.A. Getting,et al.  Perspective/navigation-The Global Positioning System , 1993, IEEE Spectrum.

[8]  Weijia Jia,et al.  Rendezvous Planning in Mobility-Assisted Wireless Sensor Networks , 2007, RTSS 2007.

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

[10]  J. Mcneff The global positioning system , 2002 .

[11]  Bartlomiej Blaszczyszyn,et al.  Using Transmit-Only Sensors to Reduce Deployment Cost of Wireless Sensor Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[12]  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.

[13]  Giuseppe Anastasi,et al.  A Hybrid Adaptive Protocol for Reliable Data Delivery in WSNs with Multiple Mobile Sinks , 2011, Comput. J..

[14]  Chunming Qiao,et al.  Constrained Scheduling in Hybrid Wireless Sensor Networks with Transmit-Only Nodes , 2010, 2010 IEEE International Conference on Communications.

[15]  Chang-Gun Lee,et al.  Partitioning based mobile element scheduling in wireless sensor networks , 2005, 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005..

[16]  D. Hilbert Über die stetige Abbildung einer Linie auf ein Flächenstück , 1935 .

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

[18]  D. Hilbert Ueber die stetige Abbildung einer Line auf ein Flächenstück , 1891 .

[19]  R. Ernst,et al.  Scenario Aware Analysis for Complex Event Models and Distributed Systems , 2007, RTSS 2007.

[20]  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..