Adaptive clock synchronization in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Integrating Wireless Sensor Networks with the Grid
IEEE Internet Computing
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Z-MAC: a hybrid MAC for wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
An Introduction to RFID Technology
IEEE Pervasive Computing
Low power downlink MAC protocols for infrastructure wireless sensor networks
Mobile Networks and Applications
DESYNC: self-organizing desynchronization and TDMA on wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
Multiple receiver strategies for minimizing packet loss in dense sensor networks
Proceedings of the eleventh ACM international symposium on Mobile ad hoc networking and computing
Poster: Smart buildings, sensor networks, and the Internet of Things
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Probabilistic missing-tag detection and energy-time tradeoff in large-scale RFID systems
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
| Hi-index | 0.00 |
Asset tracking is an important application domain for wireless sensor networks. However, continuous tracking of a large number of items at the individual item level over a significant period of time is still not feasible. There are two main obstacles. The first is the need for efficient, low-power communication protocols. Many current protocols employ energy-expensive methods to achieve reliable communication for arbitrary traffic situations. Such protocols are not suitable for continuous asset tracking applications. The second challenge is the lack of a robust presence detection algorithm that can differentiate packet losses caused by a missing item from packet losses caused by the ambient radio environment. In this paper, we designed a simple communication protocol, Uni-HB, and demonstrated it can lead to longer system lifetime and higher communication reliability than several popular protocols. We also devised two robust detection algorithms that can yield low false alarm rates while achieving timely loss notification. We took an experimental approach, and evaluated protocols on a generic embedded hardware platform that has an similar architecture to motes. We also derived analytical models to validate our experimental measurements.