Sensors: the next wave of innovation
Communications of the ACM
Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Next century challenges: mobile networking for “Smart Dust”
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Wireless integrated network sensors
Communications of the ACM
Proceedings of the 7th annual international conference on Mobile computing and networking
Embedded Everywhere: A Research Agenda for Networked Systems of Embedded Computers
Embedded Everywhere: A Research Agenda for Networked Systems of Embedded Computers
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Habitat monitoring with sensor networks
Communications of the ACM - Wireless sensor networks
The platforms enabling wireless sensor networks
Communications of the ACM - Wireless sensor networks
Energy Scavenging for Wireless Sensor Networks: With Special Focus on Vibrations
Energy Scavenging for Wireless Sensor Networks: With Special Focus on Vibrations
Analysis of wireless sensor networks for habitat monitoring
Wireless sensor networks
Computer
Methods for Scalable Self-Assembly of Ad Hoc Wireless Sensor Networks
IEEE Transactions on Mobile Computing
ANSWER: autonomous wireless sensor network
Proceedings of the 1st ACM international workshop on Quality of service & security in wireless and mobile networks
A simple and robust virtual infrastructure for massively deployed wireless sensor networks
Computer Communications
Positioning in ad hoc sensor networks
IEEE Network: The Magazine of Global Internetworking
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
Wireless sensor networks: leveraging the virtual infrastructure
IEEE Network: The Magazine of Global Internetworking
| Hi-index | 0.00 |
Due to their small form factor and modest energy budget it is infeasible to endow individual sensors with GPS capabilities. Yet, numerous applications require sensors to have a coarse-grain location awareness. The task of acquiring this coarse-grain location awareness is referred to as training. The main contribution of this work is to propose a fully asynchronous training protocol for massively-deployed sensor networks. The sensors wake up according to their internal clock and are not engaging in synchronization with the sink. Our protocol is lightweight and simple to implement. We show analytically that in spite of the lack of synchronization, individual sensors are trained energy-efficiently. The analytical results have been confirmed by simulation.