Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Bookseller Inventory # 3838386086
Synopsis: The limited bandwidth and power resources as well as the 3-D topology in underwater acoustic sensor networks have made the geographic routing a favorite choice. While most of the detour strategies in the existing geographic routing do not work well for underwater sensor networks, the spanning tree routing detour strategy can efficiently find a detour for a packet when greedy forwarding fails. In this research, we propose novel spanning trees, namely Traffic-Aware Routing Tree (TART) and Energy-Aware Routing Tree (EART), which are constructed completely in a bottom-up fashion with the traffic load and residual energy level in mind.Simulation results show that those spanning trees have very few conflicting hulls, result in much higher path throughput and residual energy level when compared against other spanning trees, leading to a better routing performance in a 3-D underwater acoustic sensor network.
About the Author: Lei Zhang is an assistant professor of computer science, Frostburg State University, University System of Maryland,USA. She received Ph. D of Computer Science from Auburn University. Her current research interests include Wireless Networks Protocols Design and Applications, Distributed Algorithm, Information Security.
Title: Underwater Acoustic Sensor Networks Protocol...
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2010
Binding: Paperback
Book Condition: Good
Book Description LAP LAMBERT Academic Publishing 2010-07-22, Saarbrücken, 2010. paperback. Condition: New. Seller Inventory # 9783838386089
Book Description LAP Lambert Academic Publishing, 2017. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2017; Not Signed; Fast Shipping from the UK. No. book. Seller Inventory # ria9783838386089_lsuk
Book Description LAP Lambert Acad. Publ. Jul 2010, 2010. Taschenbuch. Condition: Neu. Neuware - The limited bandwidth and power resources as well as the 3-D topology in underwater acoustic sensor networks have made the geographic routing a favorite choice. While most of the detour strategies in the existing geographic routing do not work well for underwater sensor networks, the spanning tree routing detour strategy can efficiently find a detour for a packet when greedy forwarding fails. In this research, we propose novel spanning trees, namely Traffic-Aware Routing Tree (TART) and Energy-Aware Routing Tree (EART), which are constructed completely in a bottom-up fashion with the traffic load and residual energy level in mind.Simulation results show that those spanning trees have very few conflicting hulls, result in much higher path throughput and residual energy level when compared against other spanning trees, leading to a better routing performance in a 3-D underwater acoustic sensor network. 140 pp. Englisch. Seller Inventory # 9783838386089
Book Description LAP Lambert Acad. Publ. Jul 2010, 2010. Taschenbuch. Condition: Neu. Neuware - The limited bandwidth and power resources as well as the 3-D topology in underwater acoustic sensor networks have made the geographic routing a favorite choice. While most of the detour strategies in the existing geographic routing do not work well for underwater sensor networks, the spanning tree routing detour strategy can efficiently find a detour for a packet when greedy forwarding fails. In this research, we propose novel spanning trees, namely Traffic-Aware Routing Tree (TART) and Energy-Aware Routing Tree (EART), which are constructed completely in a bottom-up fashion with the traffic load and residual energy level in mind.Simulation results show that those spanning trees have very few conflicting hulls, result in much higher path throughput and residual energy level when compared against other spanning trees, leading to a better routing performance in a 3-D underwater acoustic sensor network. 140 pp. Englisch. Seller Inventory # 9783838386089
Book Description LAP Lambert Acad. Publ. Jul 2010, 2010. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - The limited bandwidth and power resources as well as the 3-D topology in underwater acoustic sensor networks have made the geographic routing a favorite choice. While most of the detour strategies in the existing geographic routing do not work well for underwater sensor networks, the spanning tree routing detour strategy can efficiently find a detour for a packet when greedy forwarding fails. In this research, we propose novel spanning trees, namely Traffic-Aware Routing Tree (TART) and Energy-Aware Routing Tree (EART), which are constructed completely in a bottom-up fashion with the traffic load and residual energy level in mind.Simulation results show that those spanning trees have very few conflicting hulls, result in much higher path throughput and residual energy level when compared against other spanning trees, leading to a better routing performance in a 3-D underwater acoustic sensor network. 140 pp. Englisch. Seller Inventory # 9783838386089
Book Description LAP Lambert Academic Publishing, 2010. PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # LQ-9783838386089
Book Description LAP Lambert Academic Publishing, 2010. PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # LQ-9783838386089
Book Description LAP LAMBERT Academic Publishing, 2010. Paperback. Condition: Used: Good. Seller Inventory # SONG3838386086
Book Description LAP Lambert Academic Publishing, Germany, 2010. Paperback. Condition: New. Language: English. Brand new Book. The limited bandwidth and power resources as well as the 3-D topology in underwater acoustic sensor networks have made the geographic routing a favorite choice. While most of the detour strategies in the existing geographic routing do not work well for underwater sensor networks, the spanning tree routing detour strategy can efficiently find a detour for a packet when greedy forwarding fails. In this research, we propose novel spanning trees, namely Traffic-Aware Routing Tree (TART) and Energy-Aware Routing Tree (EART), which are constructed completely in a bottom-up fashion with the traffic load and residual energy level in mind.Simulation results show that those spanning trees have very few conflicting hulls, result in much higher path throughput and residual energy level when compared against other spanning trees, leading to a better routing performance in a 3-D underwater acoustic sensor network. Seller Inventory # KNV9783838386089
Book Description LAP LAMBERT Academic Publishing, 2010. Condition: New. This book is printed on demand. Seller Inventory # I-9783838386089