日本語フィールド
著者：Susumu Matsumae題名：Energy-Efficient Cell Partition of 3D Space for Sensor Networks with Location Information発表情報：International Journal of Network Protocols and Algorithms 巻: 1 号: 2 ページ: 85-98キーワード：概要：In the wireless sensor networks composed of battery-powered sensor nodes, one of the main issues is how to save power consumption on each node. The usual approach to this problem is to activate only necessary nodes (e.g., those nodes which compose a backbone network), and to put other nodes to sleep. One such algorithm using location information is GAF (Geographical Adaptive Fidelity), and GAF is enhanced to HGAF (Hierarchical Geographical Adaptive Fidelity). In this paper, we study the energy-efficient partition of a 3 dimensional sensor field into cells. Further, we give a theoretical upper bound on cell size for this problem.抄録：In the wireless sensor networks composed of battery-powered sensor nodes, one of the main issues is how to save power consumption on each node. The usual approach to this problem is to activate only necessary nodes (e.g., those nodes which compose a backbone network), and to put other nodes to sleep. One such algorithm using location information is GAF (Geographical Adaptive Fidelity), and GAF is enhanced to HGAF (Hierarchical Geographical Adaptive Fidelity). In this paper, we study the energy-efficient partition of a 3 dimensional sensor field into cells. Further, we give a theoretical upper bound on cell size for this problem.英語フィールド
Author：Susumu MatsumaeTitle：Energy-Efficient Cell Partition of 3D Space for Sensor Networks with Location InformationAnnouncement information:International Journal of Network Protocols and Algorithms Vol: 1 Issue: 2 Page: 85-98An abstract：In the wireless sensor networks composed of battery-powered sensor nodes, one of the main issues is how to save power consumption on each node. The usual approach to this problem is to activate only necessary nodes (e.g., those nodes which compose a backbone network), and to put other nodes to sleep. One such algorithm using location information is GAF (Geographical Adaptive Fidelity), and GAF is enhanced to HGAF (Hierarchical Geographical Adaptive Fidelity). In this paper, we study the energy-efficient partition of a 3 dimensional sensor field into cells. Further, we give a theoretical upper bound on cell size for this problem.An abstract：In the wireless sensor networks composed of battery-powered sensor nodes, one of the main issues is how to save power consumption on each node. The usual approach to this problem is to activate only necessary nodes (e.g., those nodes which compose a backbone network), and to put other nodes to sleep. One such algorithm using location information is GAF (Geographical Adaptive Fidelity), and GAF is enhanced to HGAF (Hierarchical Geographical Adaptive Fidelity). In this paper, we study the energy-efficient partition of a 3 dimensional sensor field into cells. Further, we give a theoretical upper bound on cell size for this problem.