Computational geometry: an introduction
Computational geometry: an introduction
Hood: a neighborhood abstraction for sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Panel on mobility in sensor networks
Proceedings of the 6th international conference on Mobile data management
Robomote: enabling mobility in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Virtual ring routing: network routing inspired by DHTs
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
ANSWER: AutoNomouS netWorked sEnsoR system
Journal of Parallel and Distributed Computing
Programming sensor networks using abstract regions
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
A survey on clustering algorithms for wireless sensor networks
Computer Communications
Design of adaptive overlays for multi-scale communication in sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Multiple controlled mobile elements (data mules) for data collection in sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Wireless sensor networks: leveraging the virtual infrastructure
IEEE Network: The Magazine of Global Internetworking
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Building efficient general purpose sensor network infrastructure that could be leveraged by upper layer protocols is still an open research problem. In this paper, mobility is exploited to organize sensor nodes into generic efficient infrastructure. We propose Layered Infrastructure Protocol (LIP) that allows mobile robots to organize the network nodes into co centric circular layers. Once the network is organized, the mobile robots are assigned layers to serve called home service layers where they act as moving probes to access the data and monitor the layers. Access positions are selected dynamically at each layer to provide anchors for the probes to visit in their home service layers. Probes cooperate to perform the application requests by executing a communication plan that is provided by the upper layer applications. The protocol is greatly able to cope with failures and requires only local updates for maintenance. We show that the proposed protocol provides a flexible infrastructure that keeps the nodes proximity and could be leveraged by upper layer protocols. To evaluate the performance of the proposed infrastructure some upper layer applications are implemented and built over the proposed infrastructure. Simulation-based results show the robustness and efficiency of the implemented applications.