Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Proceedings of the 7th annual international conference on Mobile computing and networking
The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
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
StoryMat: a play space for collaborative storytelling
CHI '99 Extended Abstracts on Human Factors in Computing Systems
Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
Habitat monitoring with 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
Localization in sensor networks
Wireless sensor networks
Analysis of wireless sensor networks for habitat monitoring
Wireless sensor networks
Computer
Simulating the power consumption of large-scale sensor network applications
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
An analysis of a large scale habitat monitoring application
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Training a wireless sensor network
Mobile Networks and Applications
Models and solutions for radio irregularity in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Dozer: ultra-low power data gathering in sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Efficient training of sensor networks
ALGOSENSORS'06 Proceedings of the Second international conference on Algorithmic Aspects of Wireless Sensor Networks
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
Starting up multi-gateway WSNs
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Cooperative training for high density sensor and actor networks
IEEE Journal on Selected Areas in Communications
Collision-free routing in sink-centric sensor networks with coarse-grain coordinates
IWOCA'10 Proceedings of the 21st international conference on Combinatorial algorithms
VIBE: An energy efficient routing protocol for dense and mobile sensor networks
Journal of Network and Computer Applications
Distributed colorings for collision-free routing in sink-centric sensor networks
Journal of Discrete Algorithms
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Phenomenal advances in nano-technology and packaging have made it possible to develop miniaturized low-power devices that integrate sensing, special-purpose computing, and wireless communications capabilities. It is expected that these small devices, referred to as sensors, will be mass-produced and deployed, making their production cost negligible. Due to their small form factor and modest non-renewable energy budget, individual sensors are not expected to be GPS-enabled. Moreover, in most applications, exact geographic location is not necessary, and all that the individual sensors need is a coarse-grain location awareness. The task of acquiring such a coarse-grain location awareness is referred to as training. In this paper, two scalable energy-efficient training protocols are proposed for massively-deployed sensor networks, where sensors are initially anonymous and unaware of their location. The training protocols are lightweight and simple to implement; they are based on an intuitive coordinate system imposed onto the deployment area which partitions the anonymous sensors into clusters where data can be gathered from the environment and synthesized under local control.