Đang chuẩn bị liên kết để tải về tài liệu:
Báo cáo hóa học: " Research Article Profile-Matching Techniques for On-Demand Software Management in Sensor Networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Profile-Matching Techniques for On-Demand Software Management in Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2007 Article ID 80619 10 pages doi 10.1155 2007 80619 Research Article Profile-Matching Techniques for On-Demand Software Management in Sensor Networks Falko Dressler Gerhard Fuchs Sebastien Truchat Zheng Yao Zengyu Lu and Holger Marquardt Autonomic Networking Group Department of Computer Science 7 University of Erlangen Martensstrafe 3 91058 Erlangen Germany Received 30 June 2006 Revised 12 December 2006 Accepted 2 January 2007 Recommended by Marco Conti The heterogeneity and dynamics in terms of hardware and software configurations are steadily increasing in wireless sensor networks WSNs . Therefore software management is becoming one of the most prominent challenges in this domain. This applies especially for on-demand updates for improved redundancy or adaptive task allocation. Methodologies for efficient software management in WSN need to be investigated for operating and maintaining large-scale sensor networks. We developed a profile-based software management scheme that consists of a dynamic profile-matching algorithm to identify current hardware and software configurations an on-demand code generation module and mechanisms for dynamic network-centric reprogramming of sensor nodes. We exploit the advantages of robot-based reconfiguration and reprogramming methods for efficient and secure software management. The mobile robot system is employed for decision processes and to store the source code repository. The developed methods are depicted in detail. Additionally we demonstrate the applicability and advantages based on a scenario that we implemented in our lab. Copyright 2007 Falko Dressler et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION In this paper we demonstrate the need and .