Energy Optimization Techniques For The Phy And Mac Layers Of Ieee 802.15.4/ Zigbee

2014 ◽  
pp. 129-156
Author(s):  
Al-Khateeb Anwar ◽  
Luciano Lavagno
Keyword(s):  
Ieee 802.15.4 ◽  
Energy Optimization ◽  
Optimization Techniques ◽  
Mac Layers

A taxonomy of energy optimization techniques for smart cities: Architecture and future directions

2021 ◽  
Author(s):  
Sudeep Tanwar ◽  
Aarti Popat ◽  
Pronaya Bhattacharya ◽  
Rajesh Gupta ◽  
Neeraj Kumar
Keyword(s):  
Smart Cities ◽  
Energy Optimization ◽  
Optimization Techniques ◽  
Future Directions

Enabling Technologies for Pervasive Computing

2009 ◽  
pp. 1037-1043
Author(s):  
João Henrique Kleinschmidt ◽  
Walter Cunha Borelli
Keyword(s):  
Pervasive Computing ◽  
Ieee 802.15.4 ◽  
Network Formation ◽  
Data Rate ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Medium Access ◽  
Routing And Scheduling ◽  
Mac Layers ◽  
Coexistence Issues

Bluetooth (Bluetooth SIG, 2004) and ZigBee (ZigBee Alliance, 2004) are short-range radio technologies designed for wireless personal area networks (WPANs), where the devices must have low power consumption and require little infrastructure to operate, or none at all. These devices will enable many applications of mobile and pervasive computing. Bluetooth is the IEEE 802.15.1 (2002) standard and focuses on cable replacement for consumer devices and voice applications for medium data rate networks. ZigBee is the IEEE 802.15.4 (2003) standard for low data rate networks for sensors and control devices. The IEEE defines only the physical (PHY) and medium access control (MAC) layers of the standards (Baker, 2005). Both standards have alliances formed by different companies that develop the specifications for the other layers, such as network, link, security, and application. Although designed for different applications, there exists some overlap among these technologies, which are both competitive and complementary. This article makes a comparison of the two standards, addressing the differences, similarities, and coexistence issues. Some research challenges are described, such as quality of service, security, energy-saving methods and protocols for network formation, routing, and scheduling.

DSM for Energy Optimization and Communications Within Smart Grid CPSs

2022 ◽  
pp. 506-528
Author(s):  
Sa'ed Abed ◽  
Areej Abdelaal ◽  
Amjad Gawanmeh
Keyword(s):  
Developing Countries ◽  
Smart Grid ◽  
Energy Demand ◽  
New Technologies ◽  
Power Grid ◽  
Energy Optimization ◽  
Cyber Physical Systems ◽  
Optimization Techniques ◽  
Grid System ◽  
Potential Solution

Energy demand has increased significantly in the recent years due to the emerging of new technologies and industries, in particular in the developing countries. This increase requires much more developed power grid system than the existing traditional ones. Smart grid (SG) offers a potential solution to this problem. Being one of the most needed and complex cyber-physical systems (CPS), SG has been addressed exhaustively by researchers, from different views and aspects. However, energy optimization yet needs much more studying and examination. Therefore, this chapter presents a comprehensive investigation and analysis of the state-of-the-art developments in SG as a CPS with emphasis on energy optimization techniques and challenges. It also surveys the main challenges facing the SG considering CPS factors and the remarkable accomplishments and techniques in addressing these challenges. In addition, the document contrasts between different techniques according to their efficiency, usage, and feasibility. Moreover, this work explores the most effective applications of the SG as a CPS.

scholarly journals A Review on Energy Consumption Optimization Techniques in IoT Based Smart Building Environments

Information ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 108 ◽  
Author(s):  
Abdul Shah ◽  
Haidawati Nasir ◽  
Muhammad Fayaz ◽  
Adidah Lajis ◽  
Asadullah Shah
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Optimization Algorithms ◽  
Energy Optimization ◽  
Smart Homes ◽  
Electrical Energy ◽  
Optimization Techniques ◽  
Comfort Level ◽  
Energy Consumption Optimization ◽  
User Comfort

In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed addressing the energy optimization problem. The goal of each technique is to maintain a balance between user comfort and energy requirements, such that the user can achieve the desired comfort level with the minimum amount of energy consumption. Researchers have addressed the issue with the help of different optimization algorithms and variations in the parameters to reduce energy consumption. To the best of our knowledge, this problem is not solved yet due to its challenging nature. The gaps in the literature are due to advancements in technology, the drawbacks of optimization algorithms, and the introduction of new optimization algorithms. Further, many newly proposed optimization algorithms have produced better accuracy on the benchmark instances but have not been applied yet for the optimization of energy consumption in smart homes. In this paper, we have carried out a detailed literature review of the techniques used for the optimization of energy consumption and scheduling in smart homes. Detailed discussion has been carried out on different factors contributing towards thermal comfort, visual comfort, and air quality comfort. We have also reviewed the fog and edge computing techniques used in smart homes.

scholarly journals Prototype Survey of Different Energy Optimization and Routing Approaches in Wireless Sensor Networks

2019 ◽  
pp. 01-09
Author(s):  
G. Mohan Ram ◽  
M. V. Subba Rao ◽  
T. Kesava
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Energy Optimization ◽  
Data Communication ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Design Parameters ◽  
Network Efficiency ◽  
Sensor Networking

For personal, mobiles and sensor communications wireless sensor networking are an emerging concept in recent years. Normally wireless sensor network (WSN) is combined and integrated data relations for modern communication in infrastructure, energy efficiency; these are the main design parameters to improve network performance with respect to mitigate communication relations. This paper describes different types of energy optimization techniques/approaches and basic routing scenarios used for efficient communication in wireless sensor networks. We also give brief description about different routing protocols to support data communication in wireless sensor networks. And also define different routing algorithms used in data communication to increase network efficiency with respect to different network parameters. In this survey, discuss about energy optimization approaches in wireless sensor networks, and also define several techniques which aim energy consumption in wireless nodes in WSNs.

Sustainable Process Analytics Formalism: A Case Study of Book Binding System for Energy Optimization

2013 ◽  
Author(s):  
Duck Bong Kim ◽  
Guodong Shao ◽  
Alexander Brodsky ◽  
Ryan Consylman
Keyword(s):  
Energy Efficiency ◽  
Preliminary Analysis ◽  
Energy Optimization ◽  
Optimization Techniques ◽  
Flow Data ◽  
Improve Energy Efficiency ◽  
Process Analytics ◽  
Manufacturing Optimization ◽  
Provide Decision Support

Energy is considered as one of the important factors for manufacturers to achieve the sustainability objective. To improve energy efficiency in manufacturing, optimization techniques are essential to provide decision support. However, formulating and solving energy optimization in manufacturing is still time-consuming and difficult due to its complexity with a broad scope. In addition, it is a challenging task since it requires substantial development efforts and modeling expertise. To address this drawback, Sustainable Process Analytics Formalism (SPAF) is proposed to facilitate the modeling and optimization. In this paper, SPAF will be applied to a case study of energy optimization for a book binding production system for its feasibility validation. The knowledge of process flow, data, and metrics of the case study is represented using SPAF, and a preliminary analysis of optimization results was performed.

Enabling Technologies for Pervasive Computing

2007 ◽  
pp. 272-276
Author(s):  
J. Kleinschmidt
Keyword(s):  
Pervasive Computing ◽  
Ieee 802.15.4 ◽  
Network Formation ◽  
Data Rate ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Medium Access ◽  
Routing And Scheduling ◽  
Mac Layers ◽  
Coexistence Issues

Bluetooth (Bluetooth SIG, 2004) and ZigBee (ZigBee Alliance, 2004) are short-range radio technologies designed for wireless personal area networks (WPANs), where the devices must have low power consumption and require little infrastructure to operate, or none at all. These devices will enable many applications of mobile and pervasive computing. Bluetooth is the IEEE 802.15.1 (2002) standard and focuses on cable replacement for consumer devices and voice applications for medium data rate networks. ZigBee is the IEEE 802.15.4 (2003) standard for low data rate networks for sensors and control devices. The IEEE defines only the physical (PHY) and medium access control (MAC) layers of the standards (Baker, 2005). Both standards have alliances formed by different companies that develop the specifications for the other layers, such as network, link, security, and application. Although designed for different applications, there exists some overlap among these technologies, which are both competitive and complementary. This article makes a comparison of the two standards, addressing the differences, similarities, and coexistence issues. Some research challenges are described, such as quality of service, security, energy-saving methods and protocols for network formation, routing, and scheduling.

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