TY - GEN
T1 - Optimal Node Placement in Underwater Wireless Sensor Networks
AU - Felamban, M.
AU - Shihada, Basem
AU - Jamshaid, Kamran
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2013/6/26
Y1 - 2013/6/26
N2 - Wireless Sensor Networks (WSN) are expected to play a vital role in the exploration and monitoring of underwater areas which are not easily reachable by humans. However, underwater communication via acoustic waves is subject to several performance limitations that are very different from those used for terresstrial networks. In this paper, we investigate node placement for building an initial underwater WSN infrastructure. We formulate this problem as a nonlinear mathematical program with the objective of minimizing the total transmission loss under a given number of sensor nodes and targeted coverage volume. The obtained solution is the location of each node represented via a truncated octahedron to fill out the 3D space. Experiments are conducted to verify the proposed formulation, which is solved using Matlab optimization tool. Simulation is also conducted using an ns-3 simulator, and the simulation results are consistent with the obtained results from mathematical model with less than 10% error.
AB - Wireless Sensor Networks (WSN) are expected to play a vital role in the exploration and monitoring of underwater areas which are not easily reachable by humans. However, underwater communication via acoustic waves is subject to several performance limitations that are very different from those used for terresstrial networks. In this paper, we investigate node placement for building an initial underwater WSN infrastructure. We formulate this problem as a nonlinear mathematical program with the objective of minimizing the total transmission loss under a given number of sensor nodes and targeted coverage volume. The obtained solution is the location of each node represented via a truncated octahedron to fill out the 3D space. Experiments are conducted to verify the proposed formulation, which is solved using Matlab optimization tool. Simulation is also conducted using an ns-3 simulator, and the simulation results are consistent with the obtained results from mathematical model with less than 10% error.
UR - http://hdl.handle.net/10754/362459
UR - http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6531795
UR - http://www.scopus.com/inward/record.url?scp=84881042228&partnerID=8YFLogxK
U2 - 10.1109/AINA.2013.40
DO - 10.1109/AINA.2013.40
M3 - Conference contribution
SN - 9781467355506
SP - 492
EP - 499
BT - 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -