The dark side of DEMMON: what is behind the scene in engineering large-scale wireless sensor networks

Most research work on WSNs has focused on protocols or on specific applications. There is a clear lack of easy/ready-to-use WSN technologies and tools for planning, implementing, testing and commissioning WSN systems in an integrated fashion. While there exists a plethora of papers about network planning and deployment methodologies, to the best of our knowledge none of them helps the designer to match coverage requirements with network performance evaluation. In this paper we aim at filling this gap by presenting an unified toolset, i.e., a framework able to provide a global picture of the system, from the network deployment planning to system test and validation. This toolset has been designed to back up the EMMON WSN system architecture for large-scale, dense, real-time embedded monitoring. It includes network deployment planning, worst-case analysis and dimensioning, protocol simulation and automatic remote programming and hardware testing tools. This toolset has been paramount to validate the system architecture through DEMMON1, the first EMMON demonstrator, i.e., a 300+ node test-bed, which is, to the best of our knowledge, the largest single-site WSN test-bed in Europe to date.

[1]  Eduardo F. Nakamura,et al.  Information fusion for wireless sensor networks: Methods, models, and classifications , 2007, CSUR.

[2]  Kameswari Chebrolu,et al.  Censor networks: a critique of "sensor networks" from a systems perspective , 2008, CCRV.

[3]  Ivan Stojmenovic,et al.  Sensor Networks , 2005 .

[4]  Robbert van Renesse,et al.  JiST: an efficient approach to simulation using virtual machines , 2005, Softw. Pract. Exp..

[5]  Amy L. Murphy,et al.  Monitoring heritage buildings with wireless sensor networks: The Torre Aquila deployment , 2009, 2009 International Conference on Information Processing in Sensor Networks.

[6]  Anis Koubaa,et al.  Z-Monitor: Monitoring and analyzing IEEE 802.15.4-based Wireless Sensor Networks , 2011, 2011 IEEE 36th Conference on Local Computer Networks.

[7]  Elmar Schoch,et al.  Simulation of ad hoc networks: ns-2 compared to JiST/SWANS , 2008, SimuTools.

[8]  Hossam S. Hassanein,et al.  Relay node deployment strategies in heterogeneous wireless sensor networks: single-hop communication case , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[9]  Petr Jurcik Real-time Communication over Cluster-tree Wireless Sensor Networks , 2010 .

[10]  Andreas Terzis,et al.  Surviving wi-fi interference in low power ZigBee networks , 2010, SenSys '10.

[11]  Rahim Tafazolli,et al.  e-SENSE - Capturing Ambient Intelligence for Mobile Communications through Wireless Sensor Networks , 2006, WINSYS.

[12]  Peter Scheuermann,et al.  SIDnet-SWANS: a simulator and integrated development platform for sensor networks applications , 2008, SenSys '08.

[13]  Gang Zhou,et al.  VigilNet: An integrated sensor network system for energy-efficient surveillance , 2006, TOSN.

[14]  Robbert van Renesse,et al.  JiST: an efficient approach to simulation using virtual machines: Research Articles , 2005 .

[15]  Allison Woodruff,et al.  Common Sense: participatory urban sensing using a network of handheld air quality monitors , 2009, SenSys '09.

[16]  Klaus Wehrle,et al.  A Performance Comparison of Recent Network Simulators , 2009, 2009 IEEE International Conference on Communications.

[17]  Andreas Terzis,et al.  RACNet: a high-fidelity data center sensing network , 2009, SenSys '09.

[18]  Deborah Estrin,et al.  The Tenet architecture for tiered sensor networks , 2006, SenSys '06.

[19]  Galen H. Sasaki,et al.  Wireless sensor placement for reliable and efficient data collection , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[20]  Hossam S. Hassanein,et al.  On the robustness of grid-based deployment in wireless sensor networks , 2006, IWCMC '06.

[21]  Chen Zhang,et al.  ExScal: elements of an extreme scale wireless sensor network , 2005, 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05).

[22]  Manoj Kumar Tiwari,et al.  A Survey of Simulation in Sensor Networks , 2008, 2008 International Conference on Computational Intelligence for Modelling Control & Automation.

[23]  Hossam S. Hassanein,et al.  Optimal wireless sensor networks (WSNs) deployment: minimum cost with lifetime constraint , 2005, WiMob'2005), IEEE International Conference on Wireless And Mobile Computing, Networking And Communications, 2005..

[24]  Eduardo Tovar,et al.  Dimensioning and worst-case analysis of cluster-tree sensor networks , 2010, TOSN.

[25]  Eduardo Tovar,et al.  A Simulation Model for the IEEE 802.15.4 protocol: Delay/Throughput Evaluation of the GTS Mechanism , 2007, 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.