Title :
ELT: Energy-Level-Based Hybrid Transmission in Underwater Sensor Acoustic Networks
Author :
Jiabao Cao ; Jinfeng Dou ; Zhongwen Guo ; Shunle Dong ; Huimin Xu
Author_Institution :
Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
Abstract :
Lifetime prolonging is one significant research issue in underwater acoustic sensor networks (UASNs). First this paper analyzes the relationship between the receiving energy consumption and the transmission energy consumption in the acoustic communication of UASNs. The routing tree is built up on the factor of optimal transmission range. Then a hybrid data transmission mechanism based on energy level is proposed to balance energy consumption. The mechanism combines one-hop and multi-hop data transmission to underwater sink considering the current energy level of adjacent nodes. An optimal classification number of energy level has been evaluated through theoretical analysis. Our design will help prolong the lifetime of whole UASN. The simulation results of UASN´s lifetime and the energy consumption of sensor nodes have proved the efficiency of the Energy-Level-based hybrid Transmission (ELT) mechanism.
Keywords :
telecommunication network reliability; telecommunication network routing; trees (mathematics); underwater acoustic communication; wireless sensor networks; ELT mechanism; UASN acoustic communication; UASN lifetime; adjacent node energy level; energy-level-based hybrid transmission; energy-level-based hybrid transmission mechanism; lifetime prolonging; multihop data transmission; one-hop data transmission; optimal classification number; optimal transmission range; receiving energy consumption; routing tree; sensor node energy consumption; theoretical analysis; transmission energy consumption; underwater sensor acoustic networks; underwater sink; Acoustics; Data communication; Energy consumption; Energy states; Oceans; Relays; Routing; data transmission; energy efficiency; lifetime; underwater acoustic sensor networks;
Conference_Titel :
Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-5159-3
DOI :
10.1109/MSN.2013.73