Improving sensor network robustness with multi-channel convergecast

Most of the existing sensor network deployments are convergecast applications that transmit data from multiple sources to one or more sinks. In this paper, we present the design of a self-organizing, collision-free multi-channel convergecast protocol. We present experiments that demonstrate our protocol’s energy-efficiency for low duty cycle applications by comparing it to X-MAC. Our experiments also demonstrate that our protocol’s ability to switch channels dynamically increases robustness against interference.

[1]  Christian Enz,et al.  wiseMAC, an ultra low power MAC protocol for the wiseNET wireless sensor network. , 2003 .

[2]  Adam Dunkels,et al.  An adaptive communication architecture for wireless sensor networks , 2007, SenSys '07.

[3]  J. J. Garcia-Luna-Aceves,et al.  Channel-hopping multiple access , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[4]  Eric Anderson,et al.  X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks , 2006, SenSys '06.

[5]  Adam Dunkels,et al.  Cross-Level Sensor Network Simulation with COOJA , 2006, Proceedings. 2006 31st IEEE Conference on Local Computer Networks.

[6]  Adam Dunkels,et al.  Software-based on-line energy estimation for sensor nodes , 2007, EmNets '07.

[7]  Wook Hyun Kwon,et al.  Lecture Notes in Computer Science: Packet Error Rate Analysis of IEEE 802.15.4 Under IEEE 802.11b Interference , 2005, WWIC.

[8]  Bhaskar Krishnamachari,et al.  An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

[9]  Adam Dunkels,et al.  Contiki - a lightweight and flexible operating system for tiny networked sensors , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[10]  Eric A. Brewer,et al.  Network Power Scheduling for TinyOS Applications , 2006, DCOSS.

[11]  Janne Riihijärvi,et al.  Performance study of IEEE 802.15.4 using measurements and simulations , 2006, IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006..

[12]  Hongwei Zhang,et al.  Reliable bursty convergecast in wireless sensor networks , 2005, MobiHoc '05.

[13]  Ying Zhang,et al.  Distributed Minimal Time Convergecast Scheduling in Wireless Sensor Networks , 2006, 26th IEEE International Conference on Distributed Computing Systems (ICDCS'06).

[14]  Özlem Durmaz Incel,et al.  Multi-channel Support for Dense Wireless Sensor Networking , 2006, EuroSSC.

[15]  R. Wattenhofer,et al.  Dozer: Ultra-Low Power Data Gathering in Sensor Networks , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[16]  Gang Zhou,et al.  MMSN: Multi-Frequency Media Access Control for Wireless Sensor Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[17]  Andreas Terzis,et al.  Typhoon: A Reliable Data Dissemination Protocol for Wireless Sensor Networks , 2008, EWSN.

[18]  Ramesh Govindan,et al.  Understanding packet delivery performance in dense wireless sensor networks , 2003, SenSys '03.