TY - GEN
T1 - A deployment optimization mechanism using depth adjustable nodes in underwater acoustic sensor networks
AU - Jin, Zhigang
AU - Ji, Zhihua
AU - Su, Yishan
AU - Li, Shuo
AU - Wei, Bo
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant Nos. 61571318 and 61701335) and the Tianjin Natural Science Foundation of China (Grant No. 17JCQNJC01300).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - The past few years have witnessed a significant progress in the research of underwater acoustic sensor networks. However, most studies on network deployment can only achieve excellent coverage with isolated connectivity or excellent connectivity with coverage holes in the monitoring area. Both coverage and connectivity are important to guarantee the quality of monitoring in Underwater Acoustic Sensor Networks (UASNs). To achieve the joint optimization of network coverage and connectivity, we proposed a deployment optimization mechanism using depth adjustable nodes in UASNs. The sink nodes are evenly distributed on the water surface and act as cluster heads. The sensor nodes in a cluster are adjusted vertically to form the topology with the sink node as the root node so that all nodes in the network are connected. Network deployment is optimized by finding the optimal location of node, with the network topology remains the same as a constraint. Simulation results show that our proposed deployment mechanism can achieve higher coverage with all nodes connected.
AB - The past few years have witnessed a significant progress in the research of underwater acoustic sensor networks. However, most studies on network deployment can only achieve excellent coverage with isolated connectivity or excellent connectivity with coverage holes in the monitoring area. Both coverage and connectivity are important to guarantee the quality of monitoring in Underwater Acoustic Sensor Networks (UASNs). To achieve the joint optimization of network coverage and connectivity, we proposed a deployment optimization mechanism using depth adjustable nodes in UASNs. The sink nodes are evenly distributed on the water surface and act as cluster heads. The sensor nodes in a cluster are adjusted vertically to form the topology with the sink node as the root node so that all nodes in the network are connected. Network deployment is optimized by finding the optimal location of node, with the network topology remains the same as a constraint. Simulation results show that our proposed deployment mechanism can achieve higher coverage with all nodes connected.
KW - Connectivity
KW - Coverage
KW - Node deployment
KW - Underwater acoustic sensor network
UR - http://www.scopus.com/inward/record.url?scp=85060309422&partnerID=8YFLogxK
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U2 - 10.1109/OCEANSKOBE.2018.8559144
DO - 10.1109/OCEANSKOBE.2018.8559144
M3 - Conference contribution
AN - SCOPUS:85060309422
T3 - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
BT - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
Y2 - 28 May 2018 through 31 May 2018
ER -