Lei Zhang

Underwater Acoustic Sensor Networks Protocol Design

Energy-Efficient And Traffic-Aware Detour Tree for Geographic Routing

• Broschiertes Buch

Produktbeschreibung

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.

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Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 140
• Erscheinungstermin: 22. Juli 2010
• Englisch
• Abmessung: 220mm x 150mm x 9mm
• Gewicht: 203g
• ISBN-13: 9783838386089
• ISBN-10: 3838386086
• Artikelnr.: 31075485

Autorenporträt

Lei Zhang, born in 1982, received his PH.D in 2018 in College of Computer Science and Technology at Harbin Engineering University. He is also a lecturer and the director of computer software teaching and research office at Jiamusi University. His research interests are security and privacy in vehicle networks, and mobile privacy protocol.