Data fusion on wireless sensor and actuator networks powered by the zensens system

Wireless sensor and actuator networks (WSANs) provide sensor and actuator services through small smart nodes with very limited hardware and power supply. Information fusion must be considered a critical step in WSAN design, enabling energy saving, increasing data quality and deeper insight of the monitored environment. This study presents experimental results over real hardware on inner-node fusion in the context of the ZensSens system. ZenSens provides user-centric WSAN functionality, with IPv6 support at the sensor node level, automatic node attachment and suitable software tools for multi-channel access. This study presents some material about information fusion, the ZenSens system and possible solutions for inner-node information fusion based on real temperature sensor data. The approach proves the feasibility of inner-node fusion on constrained hardware with IPv6 support.

[1]  Ren C. Luo,et al.  Multisensor fusion and integration: approaches, applications, and future research directions , 2002 .

[2]  Stefano Chessa,et al.  Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards , 2007, Comput. Commun..

[3]  Eduardo Freire Nakamura,et al.  Information fusion in wireless sensor networks , 2008, SIGMOD Conference.

[4]  Joel J. P. C. Rodrigues,et al.  Application of Wireless Sensor Networks to Healthcare Promotion , 2008 .

[5]  Steven B. Smith,et al.  Digital Signal Processing: A Practical Guide for Engineers and Scientists , 2002 .

[6]  Mohamed Eltoweissy,et al.  Service-oriented sensor-actuator networks: Promises, challenges, and the road ahead , 2007, Comput. Commun..

[7]  Xin Liu,et al.  Information fusion technology for underground trackless equipment on fire detection , 2009, 2009 9th International Conference on Electronic Measurement & Instruments.

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

[9]  Yuxing Wang,et al.  A New Classification Method on Information Fusion of Wireless Sensor Networks , 2008, 2008 International Conference on Embedded Software and Systems Symposia.

[10]  Feng Xia,et al.  Wireless Sensor/Actuator Network Design for Mobile Control Applications , 2007, Sensors.

[11]  Joel J. P. C. Rodrigues,et al.  User-centric data gathering multi-channel system for IPv6-enabled wireless sensor networks , 2011, Int. J. Sens. Networks.

[12]  Joel J. P. C. Rodrigues,et al.  A survey on IP‐based wireless sensor network solutions , 2010, Int. J. Commun. Syst..

[13]  Bo Li,et al.  A survey of transport protocols for wireless sensor networks , 2006, IEEE Network.

[14]  Joel J. P. C. Rodrigues,et al.  User-Centric Plug-And-Play Functionality for IPv6-Enabled Wireless Sensor Networks , 2010, 2010 IEEE International Conference on Communications.

[15]  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.

[16]  Hairong Qi,et al.  Distributed computing paradigms for collaborative signal and information processing in sensor networks , 2004, J. Parallel Distributed Comput..

[17]  Mark S. Nixon,et al.  Acoustic information fusion for ground vehicle classification , 2008, 2008 11th International Conference on Information Fusion.

[18]  Cem Ersoy,et al.  MAC protocols for wireless sensor networks: a survey , 2006, IEEE Communications Magazine.

[19]  Colin O'Flynn,et al.  Making sensor networks IPv6 ready , 2008, SenSys '08.

[20]  Joel J. P. C. Rodrigues,et al.  A survey on IP‐based wireless sensor network solutions , 2010, Int. J. Commun. Syst..

[21]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[22]  Henry Leung,et al.  Information fusion based smart home control system and its application , 2008, IEEE Transactions on Consumer Electronics.