In search for a robust design of environmental sensor networks.
This paper presents an approach to the design of environmental sensor networks (ESN) which aims at providing a robust, fit-for-purpose network with minimum redundancy. A set of near optimum ESN designs is sought using an evolutionary algorithm, which incorporates redundancy and robustness as fitness functions. This work can assist the decision-making process when determining the number of sensor nodes and how the nodes are going to be deployed in the region of interest.
a School of Engineering and ICT , University of Tasmania , Hobart , Australia.|b Data61 , Commonwealth Scientific and Industrial Research Organisation , Sandy Bay , Australia.|c Faculty of Information Technology , Maranatha Christian University , Bandung, Indonesia.
Setia
http://orcid.org/0000-0003-1408-7808
S
Budi
b Data61 , Commonwealth Scientific and Industrial Research Organisation , Sandy Bay , Australia.|d College of Engineering and Science , Victoria University , Footscray , Australia.
Ferry
http://orcid.org/0000-0002-7484-8253
F
Susanto
b Data61 , Commonwealth Scientific and Industrial Research Organisation , Sandy Bay , Australia.
Paulo
http://orcid.org/0000-0002-0091-8925
P
de Souza
b Data61 , Commonwealth Scientific and Industrial Research Organisation , Sandy Bay , Australia.
Greg
http://orcid.org/0000-0001-5289-2619
G
Timms
a School of Engineering and ICT , University of Tasmania , Hobart , Australia.
Vishv
http://orcid.org/0000-0002-5732-8467
V
Malhotra
a School of Engineering and ICT , University of Tasmania , Hobart , Australia.
Paul
http://orcid.org/0000-0003-4504-2338
P
Turner
D000465:Algorithms; D003657:Decision Making; D004784:Environmental Monitoring
Sensor networks design; evolutionary algorithm; inverse distance weighting; multi-objective optimisation; spatial interpolation