Abstract
Sensors power the entire internet of things applications. Sensors are one of the major power consuming devices of IoT networks while transmitting and receiving data. Optimizing power is one of the approaches to solve this problem. This paper surveys various power modeling techniques of sensors that are applicable to the internet of things and sensor networks applications. Various techniques and strategies have been studied in this paper. Some of the techniques that are studied and surveyed are transmission power modeling, power modeling of the sensor for sensor subsystems and IoT systems, clustered approach, energy harvesting models and transmission distance modeling. Our survey proposes that there exists a valid and feasible model for a given application that satisfies the power constraints of the sensor devices.
Keywords: Sensors, energy, power modeling, internet of things, energy, transmission.
Graphical Abstract
Related Journals
Recent Advances in Computer Science and Communications
Related Books
Challenges and Opportunities for Deep Learning Applications in Industry 4.0
Recent Advances in IoT and Blockchain Technology
Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments Part II
Machine Learning and Its Application: A Quick Guide for Beginners
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
How to Design Optimization Algorithms by Applying Natural Behavioral Patterns
Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part I)
11