Exploration time reduction and sustainability enhancement of cooperative clustered multiple robot sensor networks
Autor: | Yeonghun Nam, Hyoung Jun Cho, Kyucheol Park, Jong-Moon Chung |
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Rok vydání: | 2012 |
Předmět: |
Telerobotics
Computer Networks and Communications Computer science Distributed computing Real-time computing Mobile robot Reduction (complexity) Key distribution in wireless sensor networks Hardware and Architecture Mobile wireless sensor network Robot Cluster analysis Wireless sensor network Software Information Systems |
Zdroj: | IEEE Network. 26:41-48 |
ISSN: | 0890-8044 |
DOI: | 10.1109/mnet.2012.6201215 |
Popis: | A robot sensor network (RSN) is defined as a network of sensor-equipped robots and sensor nodes (that are deployed by the robots) that wirelessly communicate for remote-control, mission-cooperation, and to report sensed information to the control and reporting center (CRC). RSNs use real-time video communication support (in addition to various sensor data communication) for mission-cooperation and remote-control of its multi-robots. In this article, the hybrid data-type clustering (HDC) and subnet-divided HDC (SHDC) algorithms are proposed to maximize the RSN lifetime and enable more efficient multi-robot mission-cooperation. |
Databáze: | OpenAIRE |
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