LB-AGR: level-based adaptive geo-routing for underwater sensor network

作     者：DU Xiu-juan HUANG Ke-jun LAN Sheng-lin FENG Zhen-xing LIU Fan 

作者机构：School of Computer ScienceQinghai Normal University Network Information CenterQinghai Normal University 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2014年第21卷第1期

页      面：54-59页

核心收录：

学科分类：082403[工学-水声工程] 080202[工学-机械电子工程] 08[工学] 0824[工学-船舶与海洋工程] 0802[工学-机械工程] 

基　　金：supported by the Program for New Century Excellent Talents in University of China(NCET-11-1025) the National Natural Science Foundation of China(61162003,61163050,6126104) Qinghai Office of Science and Technology(2012-Z-902) the National Basic Research Program of China(2011CB311809) the Natural Science Foundation of Tianjin(10JCYBJC00600) 

主　　题：UWSN LB-AGR node level neighbor table 

摘      要：Underwater sensor network（UWSN） adopts acoustic communication with more energy-consumption and longer propagation-delay, which bring great challenges to protocol design. In this paper, we proposed level-based adaptive geo-routing（LB-AGR） protocol. LB-AGR divides traffics into four categories, and routes different types of traffic in accordance with different decisions. Packets upstream to the sink are forwarded unicast to the best next-hop instead of broadcasting to all neighbor nodes as in present UWSN routing protocols. LB-AGR defines an integrated forwarding factor for each candidate node based on available energy, density, location, and level-difference between neighbor nodes, which is used to determine the best next-hop among multiple qualified candidates. Through simulation experiments, we show the promising performance of LB-AGR.