Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
The smart floor: a mechanism for natural user identification and tracking
CHI '00 Extended Abstracts on Human Factors in Computing Systems
ORBIT Radio Grid Tested for Evaluation of Next-Generation Wireless Network Protocols
TRIDENTCOM '05 Proceedings of the First International Conference on Testbeds and Research Infrastructures for the DEvelopment of NeTworks and COMmunities
MoteLab: a wireless sensor network testbed
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A survey on clustering algorithms for wireless sensor networks
Computer Communications
People Identification Using Gait Via Floor Pressure Sensing and Analysis
EuroSSC '08 Proceedings of the 3rd European Conference on Smart Sensing and Context
Hallway monitoring with sensor networks
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
Tracking people in indoor environments
ICOST'07 Proceedings of the 5th international conference on Smart homes and health telematics
VCM: the vector-based coloring method for grid wireless ad hoc and sensor networks
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
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We present a sensor network testbed that monitors a hallway. It consists of 120 load sensors and 29 passive infrared sensors (PIRs), connected to 30 wireless sensor nodes. There are also 29 LEDs and speakers installed, operating as actuators, and enabling a direct interaction between the testbed and passers-by. Beyond that, the network is heterogeneous, consisting of three different circuit boards--each with its specific responsibility. The design of the load sensors is of extremely low cost compared to industrial solutions and easily transferred to other settings. The network is used for in-network data processing algorithms, offering possibilities to develop, for instance, distributed target-tracking algorithms. Special features of our installation are highly correlated sensor data and the availability of miscellaneous sensor types.