TY - GEN
T1 - Intelligent Node Deployment in Smart Spaces to Optimize Sensor Signal and Data Acquisition
AU - Andreou, Andreas
AU - Mavromoustakis, Constandinos X.
AU - Batalla, Jordi Mongay
AU - Markakis, Evangelos
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The rapid growth of the Internet of Things (IoT) has led to the proliferation of interconnected devices and the generation of vast amounts of data. One of the critical factors in optimizing IoT data acquisition networks is the intelligent deployment of nodes to ensure adequate coverage. Therefore, throughout this paper, we propose an innovative approach to deploy sensor nodes as the primary data source of IoT in Smart Spaces. The proposed framework combines Poisson point processing, spatial partitioning by Voronoi diagrams and the modified Artificial Bee Colony (ABC) algorithm for position optimization. Voronoi's tessellation of Euclidean space is constructed using the radical lines of the circular planes created by the intersections of the spheres. Initially, sensor nodes, which represent the centre of each sphere, are positioned erratically using the Poisson point process (PPP). Then ABC algorithm is utilized to intelligently explore the environment, detect, and cover the grey areas considering the overlapped coverage with other sensors. Comparison with the Voronoi-based algorithm for sensor network architecture optimization proves the effectiveness of the proposed ABC algorithm.
AB - The rapid growth of the Internet of Things (IoT) has led to the proliferation of interconnected devices and the generation of vast amounts of data. One of the critical factors in optimizing IoT data acquisition networks is the intelligent deployment of nodes to ensure adequate coverage. Therefore, throughout this paper, we propose an innovative approach to deploy sensor nodes as the primary data source of IoT in Smart Spaces. The proposed framework combines Poisson point processing, spatial partitioning by Voronoi diagrams and the modified Artificial Bee Colony (ABC) algorithm for position optimization. Voronoi's tessellation of Euclidean space is constructed using the radical lines of the circular planes created by the intersections of the spheres. Initially, sensor nodes, which represent the centre of each sphere, are positioned erratically using the Poisson point process (PPP). Then ABC algorithm is utilized to intelligently explore the environment, detect, and cover the grey areas considering the overlapped coverage with other sensors. Comparison with the Voronoi-based algorithm for sensor network architecture optimization proves the effectiveness of the proposed ABC algorithm.
KW - Artificial bee colony
KW - IoT
KW - Poisson point process
KW - Smart Spaces
KW - Voronoi diagrams
UR - http://www.scopus.com/inward/record.url?scp=85190558342&partnerID=8YFLogxK
U2 - 10.1109/CAMAD59638.2023.10478392
DO - 10.1109/CAMAD59638.2023.10478392
M3 - Conference contribution
AN - SCOPUS:85190558342
T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
SP - 37
EP - 42
BT - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Y2 - 6 November 2023 through 8 November 2023
ER -