scholarly journals Design of Hybrid Energy Management System for Wireless Sensor Networks in Remote Areas

Author(s):  
Dr. Subarna Shakya

Energy is an essential parameter for any work to be done. An electric energy is a primary requirement for any wireless transmission system. Transmitting the information from a source to destination requires a continuous and strengthen wireless network connection to avoid interruption from electromagnetic disturbance. Powering such wireless networks can be done by giving direct current through a battery or from direct supply. The challenge comes when the wireless sensor network is fixed in a remote place or designed as a moving system for sensing analysis. Battery sourcing power system will be a better choice for such movable wireless system. The paper proposes a hybrid energy management system for wireless sensor networks (WSNs) connected in remote areas and it analyses the performance of the energy management system in terms of amount of energy can be generated for a battery source.

2017 ◽  
Vol 13 (1) ◽  
pp. 155014771668361 ◽  
Author(s):  
Kewang Zhang ◽  
Qizhao Wu ◽  
Xin Li

With the development of wireless sensor networks, many building energy management systems are getting to adopt wireless sensor network as their communication infrastructure. However, the existing wireless sensor network protocols cannot satisfy the energy-saving demand of building energy management systems. Considering the characteristics of the building energy management system wireless sensor networks, a novel energy-efficient routing scheme is proposed called relay participated–new-type building energy management system. Nodes in the building energy management system wireless sensor networks are divided into two types: energy-limited nodes (battery powered) and energy-unlimited nodes (main powered, solar charger, or heat energy powered). Relay participated–new-type building energy management system allows energy-unlimited nodes to temporarily receive packets that are routed to a nearby energy-limited nodes. In this way, time synchronization for low-power sleep at media access control layer is no longer required, which reduces the delay and control overhead at media access control layer dramatically. Relay participated–new-type building energy management system reduces energy usage of energy-limited nodes and extend the lifetime of wireless sensor networks in new-type building energy management systems. Simulation results show that the relay participated–new-type building energy management system protocol significantly improves energy efficiency of limited energy nodes and reduces latency as compared to ad hoc on-demand distance vector–sensor medium access control and low-energy adaptive clustering hierarchy.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Ayuba John ◽  
Abdulazeez Yusuf ◽  
Abdulhamid Ardo

The acquisition of data, the processing of those data for use by the operator, and control of remote devices are the fundamental building blocks of all modern utility control systems. Manual calculations, technical analysis and conclusions were initially adopted in power system design, operation and control. As the power system grow it become more complex due to the technical advancements, variety and dynamic requirements. Artificial intelligence is the science of automating intelligent behaviours currently achievable by humans. Intelligent system techniques may be of great help in the implementation of area power system controls. While smart grid can be considered as a modern electric power grid infrastructure for enhanced efficiency and reliability through automated control, high power converters, modern communications infrastructure, sensing and metering technologies, and modern energy management techniques based on the optimization of demand, energy and network availability, and so on. The big picture of the whole transmission grid, in the context of smart grids, is still unclear; and in Nigeria no studies have been put on ground in order for the existing network to be turn into a smart grid. In this research work emphasis is place on generation and transmission stations; power optimization using artificial intelligent techniques and wireless sensor networks for power control management system.


2019 ◽  
Vol 13 (6) ◽  
pp. 961-972 ◽  
Author(s):  
Lukas Sigrist ◽  
Jose Maria Fernández ◽  
Enrique Lobato ◽  
Luis Rouco ◽  
Inmaculada Saboya ◽  
...  

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