Wireless sensor network optimization: Multi-objective paradigm
Optimization problems relating to wireless sensor network planning, design, deployment
and operation often give rise to multi-objective optimization formulations where multiple …
and operation often give rise to multi-objective optimization formulations where multiple …
An improved flower pollination algorithm for optimizing layouts of nodes in wireless sensor network
The arrangement of nodes impacts the quality of connectivity and energy consumption in
wireless sensor network (WSN) for prolonging the lifetime. This paper presents an improved …
wireless sensor network (WSN) for prolonging the lifetime. This paper presents an improved …
Enhanced differential crossover and quantum particle swarm optimization for IoT applications
An optimized design with real-time and multiple realistic constraints in complex engineering
systems is a crucial challenge for designers. In the non-uniform Internet of Things (IoT) node …
systems is a crucial challenge for designers. In the non-uniform Internet of Things (IoT) node …
Swarm intelligence-based performance optimization for mobile wireless sensor networks: survey, challenges, and future directions
L Cao, Y Cai, Y Yue - IEEE Access, 2019 - ieeexplore.ieee.org
Network performance optimization has always been one of the important research subjects
in mobile wireless sensor networks. With the expansion of the application field of MWSNs …
in mobile wireless sensor networks. With the expansion of the application field of MWSNs …
CDABC: chaotic discrete artificial bee colony algorithm for multi-level clustering in large-scale WSNs
Artificial bee colony or ABC is an interesting meta-heuristic algorithm designed to solve
various continuous optimization problems. However, it cannot be directly applied to solve …
various continuous optimization problems. However, it cannot be directly applied to solve …
Multi-objective optimization in sensor networks: Optimization classification, applications and solution approaches
A number of the practical scenarios relating to sensor networks are modeled as multi-
objective optimization formulations where multiple desirable objectives compete with each …
objective optimization formulations where multiple desirable objectives compete with each …
A hybrid multi-objective PSO algorithm with local search strategy for VLSI partitioning
W Guo, G Liu, G Chen, S Peng - Frontiers of Computer Science, 2014 - Springer
Very large scale integration (VLSI) circuit partitioning is an important problem in design
automation of VLSI chips and multichip systems; it is an NP-hard combinational optimization …
automation of VLSI chips and multichip systems; it is an NP-hard combinational optimization …
Binary grey wolf optimisation‐based topology control for WSNs
SN Ghorpade, M Zennaro… - IET Wireless Sensor …, 2019 - Wiley Online Library
Wireless sensor networks (WSNs) are composed of a large number of sensor nodes that are
deployed at target locations. Topology control (TC) is one of the significant fundamental …
deployed at target locations. Topology control (TC) is one of the significant fundamental …
Learning automaton based topology control protocol for extending wireless sensor networks lifetime
M Javadi, H Mostafaei, MU Chowdhurry… - Journal of Network and …, 2018 - Elsevier
Energy efficiency is one of the critical challenges in wireless sensor networks because the
nodes in such networks have limited resources. Therefore, they should be managed …
nodes in such networks have limited resources. Therefore, they should be managed …
A fair credit-based incentive mechanism for routing in DTN-based sensor network with nodes' selfishness
Y Mao, C Zhou, J Qi, X Zhu - EURASIP Journal on Wireless …, 2020 - Springer
Due to the unguaranteed connectivity, wireless sensor networks based on delay tolerant
network (DTN) are typically characterized by the opportunistic forwarding mechanism in …
network (DTN) are typically characterized by the opportunistic forwarding mechanism in …