TY - JOUR
T1 - Multi-objective mapping method for 3D environmental sensor network deployment
AU - Tsang, Y.P.
AU - Choy, K.L.
AU - Wu, C.H.
AU - Ho, G.T.S.
PY - 2019
Y1 - 2019
N2 - Effective deployment of the emerging environmental sensor network in environmental mapping has become essential in numerous industrial applications. The essential factors for deployment include cost, coverage, connectivity, airflow of heating, ventilation, and air conditioning, system lifetime, and fault tolerance. In this letter, a three-stage deployment scheme is proposed to formulate the above-mentioned considerations, and the fuzzy temperature window is established to adjust sensor activation times over various ambient temperatures. To optimize the deployment effectively, a multi-response Taguchi-guided k-means clustering is proposed to embed in the genetic algorithm, where an improved set of the initial population is formulated and system parameters are optimized. Therefore, the computational time for repeated deployment is shortened, while the solution convergence can be improved.
AB - Effective deployment of the emerging environmental sensor network in environmental mapping has become essential in numerous industrial applications. The essential factors for deployment include cost, coverage, connectivity, airflow of heating, ventilation, and air conditioning, system lifetime, and fault tolerance. In this letter, a three-stage deployment scheme is proposed to formulate the above-mentioned considerations, and the fuzzy temperature window is established to adjust sensor activation times over various ambient temperatures. To optimize the deployment effectively, a multi-response Taguchi-guided k-means clustering is proposed to embed in the genetic algorithm, where an improved set of the initial population is formulated and system parameters are optimized. Therefore, the computational time for repeated deployment is shortened, while the solution convergence can be improved.
UR - https://hdl.handle.net/1959.7/uws:66378
U2 - 10.1109/LCOMM.2019.2914440
DO - 10.1109/LCOMM.2019.2914440
M3 - Article
SN - 1089-7798
VL - 23
SP - 1231
EP - 1235
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 7
M1 - 8705334
ER -