Multipurpose wireless sensor network platform for research and training in data fusion, and multi-feature target tracking

This paper introduces a multipurpose wireless sensor network (WSN) platform for education and research. The WSN platform is designed with state-of-the-art multiple sensor modules with high processing capability and can support a variety of research and education projects in sensor/data fusion and target tracking algorithms. The modules comprise of odor sensors in combination with different motion, sound, and temperature sensors to address multi-level research and education projects in plume source localization (for odor and/or temperature), and non-odor based target detection and tracking, as well as efficient communication strategies in WSNs. A novelty of the platform is that it offers a combination of odor, and non-odor based sensors, which facilitate research in mobile odor source tracking. The platform has been established as part of a MS thesis project, and is currently under development with the addition of odor sensors to allow for an increased variety of graduate studies as thesis projects and in sensor fusion courses.

[1]  Xue Wang,et al.  Time Series Forecasting for Energy-efficient Organization of Wireless Sensor Networks , 2007, Sensors.

[2]  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).

[3]  Wei Li,et al.  Multisensor Integration for Declaring the Odor Source of a Plume in Turbulent Fluid-Advected Environments , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[4]  G. Nofsinger,et al.  Distributed chemical plume process detection: MILCOM 2005 #1644 , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.

[5]  Metin Gokasan,et al.  Survey: detection, recognition and source localization of odor , 2008 .

[6]  C. Posse,et al.  Nonlinear Bayesian Algorithms for Gas Plume Detection and Estimation from Hyper-spectral Thermal Image Data , 2007, Sensors (Basel, Switzerland).

[7]  Ross J. Harper,et al.  Identification of dominant odor chemicals emanating from explosives for use in developing optimal training aid combinations and mimics for canine detection. , 2005, Talanta.

[8]  Gianluca Bontempi,et al.  Simulation architecture for data processing algorithms in wireless sensor networks , 2006, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06).

[9]  Paul G. Spirakis,et al.  Probabilistic Distributed Algorithms for Energy Efficient Routing and Tracking in Wireless Sensor Networks , 2009, Algorithms.

[10]  N. A. Vasanthi,et al.  Energy Saving Schedule for Target Tracking Sensor Networks to Maximize the Network Lifetime , 2006, 2006 1st International Conference on Communication Systems Software & Middleware.

[11]  Shuo Pang,et al.  Chemical Plume Source Localization , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[12]  K. Yamasaki,et al.  Design of energy-efficient wireless sensor networks with censoring, on-off, and censoring and on-off sensors based on mutual information , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[13]  William M. Spears,et al.  Swarms for chemical plume tracing , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..

[14]  Robert X. Gao,et al.  Architectural design of a sensory node controller for optimized energy utilization in sensor networks , 2006, IEEE Transactions on Instrumentation and Measurement.

[15]  Zijian Wang,et al.  A Distributed Cooperative Target Tracking with Binary Sensor Networks , 2008, ICC Workshops - 2008 IEEE International Conference on Communications Workshops.

[16]  Prasant Mohapatra,et al.  Medium access control in wireless sensor networks , 2007, Comput. Networks.

[17]  Chaki Ng,et al.  Mirage: a microeconomic resource allocation system for sensornet testbeds , 2005, The Second IEEE Workshop on Embedded Networked Sensors, 2005. EmNetS-II..

[18]  Jindong Tan,et al.  Mobile sensor deployment for a dynamic cluster-based target tracking sensor network , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[19]  Majid Sarrafzadeh,et al.  Optimal Energy Aware Clustering in Sensor Networks , 2002 .

[20]  Jie Cai,et al.  Tracking Dynamic Source Direction with a Novel Stationary Electronic Nose System , 2006, Sensors (Basel, Switzerland).

[21]  Metin Gokasan,et al.  Detection and tracking of an explosives-carrying human with odor-sensor based multisensor networks , 2007 .

[22]  Prasun Sinha,et al.  Sprinkler: a reliable and energy efficient data dissemination service for wireless embedded devices , 2005, 26th IEEE International Real-Time Systems Symposium (RTSS'05).

[23]  Matt Welsh,et al.  MoteLab: a wireless sensor network testbed , 2005, IPSN '05.

[24]  Chen-Khong Tham,et al.  A novel target movement model and energy efficient target tracking in sensor networks , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[25]  Metin Gokasan,et al.  Novel approach for detection and tracking of explosive carrying mobile humans with odor-sensor based multisensor networks , 2008 .

[26]  Gail L. Rosen,et al.  ULA Delay-and-Sum Beamforming for Plume Source Localization , 2007 .

[27]  Chen-Khong Tham,et al.  Energy Efficient Multiple Target Tracking in Wireless Sensor Networks , 2007, IEEE Transactions on Vehicular Technology.