TY - GEN
T1 - Energy-efficient path-aware routing Protocol based on PSO for Smart Grids
AU - Mechta, Djamila
AU - Harous, Saad
AU - Hebal, Sara
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - A smart grid (SG) is considered as a complex system that has opened new research directions where energy routing problems take important interest. The QoS-aware energy routing problem is a NP-hard problem. Although, the QoS problem is naturally multi-objective optimization problem. Most of the existing approaches related to the energy routing problem in SG solve it in single-objective optimization context using traditional techniques (graph theory, autonomous systems, game theory,... etc). In this paper, we aim to tackle the problem in multi-objective optimization context based on bio-inspired paradigms. To achieve this, we propose an optimized Energy Routing technique using a Particle Swarm Optimization (PSO) meta-heuristic. This technique requires less computation, and it has the advantages of reliability, fast speed, robustness, strong global convergence ability.
AB - A smart grid (SG) is considered as a complex system that has opened new research directions where energy routing problems take important interest. The QoS-aware energy routing problem is a NP-hard problem. Although, the QoS problem is naturally multi-objective optimization problem. Most of the existing approaches related to the energy routing problem in SG solve it in single-objective optimization context using traditional techniques (graph theory, autonomous systems, game theory,... etc). In this paper, we aim to tackle the problem in multi-objective optimization context based on bio-inspired paradigms. To achieve this, we propose an optimized Energy Routing technique using a Particle Swarm Optimization (PSO) meta-heuristic. This technique requires less computation, and it has the advantages of reliability, fast speed, robustness, strong global convergence ability.
KW - Energy routing
KW - Multi-objective Optimization
KW - Particle Swarm Optimization (PSO)
KW - Smart grid
UR - http://www.scopus.com/inward/record.url?scp=85092447495&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092447495&partnerID=8YFLogxK
U2 - 10.1109/EIT48999.2020.9208344
DO - 10.1109/EIT48999.2020.9208344
M3 - Conference contribution
AN - SCOPUS:85092447495
T3 - IEEE International Conference on Electro Information Technology
SP - 93
EP - 97
BT - 2020 IEEE International Conference on Electro Information Technology, EIT 2020
PB - IEEE Computer Society
T2 - 2020 IEEE International Conference on Electro Information Technology, EIT 2020
Y2 - 31 July 2020 through 1 August 2020
ER -