Name
Abstract | ||
|---|---|---|
This paper describes the design and implementation of a sensor network system that can adapt to node failures and changes in node positions. The objective of this system is to support human actions in typical living and working environments such as buildings, offices, and homes. The adaptive sensor network system we designed and implemented can estimate the spatial position of each node, can detect a connection or disconnection between a node and the network, and can translate a position-based address into the appropriate set of sensor nodes. The evaluation results show the possibility of the system adapting to dynamic network changes. (C) 1999 Elsevier Science B.V. All right reserved. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1016/S0921-8890(99)00010-X | ROBOTICS AND AUTONOMOUS SYSTEMS |
Keywords | Field | DocType |
sensor network,adaptive system,position-based addressing,automatic position estimation | Dynamic network analysis,Key distribution in wireless sensor networks,Computer science,Simulation,Adaptive system,Visual sensor network,Sensor array,Brooks–Iyengar algorithm,Node (networking),Wireless sensor network | Journal |
Volume | Issue | ISSN |
28 | 2-3 | 0921-8890 |
Citations | PageRank | References |
4 | 0.72 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michimune Kohno | 1 | 63 | 6.73 |
| Masahiro Matsunaga | 2 | 4 | 1.05 |
| Yuichiro Anzai | 3 | 244 | 40.11 |