Energy Harvesting Models and Techniques for Green IoT

2021 ◽  
pp. 117-143
Author(s):  
Saira Muzafar
Keyword(s):  
Sensor Networks ◽  
Energy Harvesting ◽  
Energy Demand ◽  
Rapid Development ◽  
External World ◽  
Green Energy ◽  
Wireless Sensor ◽  
Energy Sources ◽  
Wide Range ◽  
Almost All

Wireless sensor networks (WSNs) have been popular due to their wide range of applications in almost all walks of life including industry controls, environmental monitoring, health, transportation, military. Usually conventional sensor networks are dedicated, and private networks have little or no communication with the outside world; hence, when connected to the external world by using internet protocol (IP), they form a network of connected devices, sensors, and systems and form an internet of things (IoT). Due to rapid development of IoT infrastructures worldwide, energy demand has been increased significantly to meet the power requirements of billions of connected devices. Since WSN is a foundation of IoT; hence, IoT also inherited with the challenge of providing consistent energy and to maintain hazard-free environments. This chapter is the extension of “Energy Harvesting Models and Techniques: A Review,” which focuses on possible energy sources available in ambient environment and the technological mechanism to harvest energy for WSN and IoT that promotes green energy concept.

scholarly journals Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4113 ◽  
Author(s):  
Xiaoli Tang ◽  
Xianghong Wang ◽  
Robert Cattley ◽  
Fengshou Gu ◽  
Andrew Ball
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Condition Monitoring ◽  
Wireless Sensor ◽  
Energy Sources ◽  
Field Energy ◽  
Machine Condition ◽  
Machine Condition Monitoring ◽  
Harvesting Systems

Condition monitoring can reduce machine breakdown losses, increase productivity and operation safety, and therefore deliver significant benefits to many industries. The emergence of wireless sensor networks (WSNs) with smart processing ability play an ever-growing role in online condition monitoring of machines. WSNs are cost-effective networking systems for machine condition monitoring. It avoids cable usage and eases system deployment in industry, which leads to significant savings. Powering the nodes is one of the major challenges for a true WSN system, especially when positioned at inaccessible or dangerous locations and in harsh environments. Promising energy harvesting technologies have attracted the attention of engineers because they convert microwatt or milliwatt level power from the environment to implement maintenance-free machine condition monitoring systems with WSNs. The motivation of this review is to investigate the energy sources, stimulate the application of energy harvesting based WSNs, and evaluate the improvement of energy harvesting systems for mechanical condition monitoring. This paper overviews the principles of a number of energy harvesting technologies applicable to industrial machines by investigating the power consumption of WSNs and the potential energy sources in mechanical systems. Many models or prototypes with different features are reviewed, especially in the mechanical field. Energy harvesting technologies are evaluated for further development according to the comparison of their advantages and disadvantages. Finally, a discussion of the challenges and potential future research of energy harvesting systems powering WSNs for machine condition monitoring is made.

Review and Evaluation of Data Availability and Network Consistency in Wireless Sensor Networks

2019 ◽  
Author(s):  
Mujahid Tabassum ◽  
Sundresan Perumal ◽  
Azni Haslizan Ab Halim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Digital Media ◽  
Information And Communication Technologies ◽  
Social Life ◽  
Rapid Development ◽  
Developed Countries ◽  
Data Availability ◽  
Wireless Sensor ◽  
Wide Range

Rapid development of Information and Communication Technologies (ICTs) has greatly influenced and transformed industries. The convergence of digital media and knowledge base platforms promoted new evolving concepts and ideas between various industries to solve the complex problems. Smart grid, smart homes, smart intelligence and surveillance systems offer a wide range of connectivity and productivity to the mankind. Mainly, these systems are examples of the Internet of things (IoT) in which many sensor nodes work together to perform continuous intelligence, monitoring and management related tasks. Wireless Sensor Networks (WSN) are one of the examples of IoT networks and are being used in many industries for mobility, scalability, reliability, intelligent monitoring and management purposes. In many developed countries, WSN technology has been used to monitor the agriculture crops health and growth to boost their economy. Utilization of modern equipment in the agriculture industry is essentially required to boost people’s income and create a positive impact on their social life. In this research paper, we have reviewed various WSN industrial hardware infrastructures and performe

Sustainable Development of Green Energy Technologies in the Republic of Sudan

Green ◽  
2011 ◽  
Vol 1 (4) ◽  
Author(s):  
Abdeen Mustafa Omer
Keyword(s):  
Renewable Energy ◽  
Wind Energy ◽  
Rural Areas ◽  
Energy Demand ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Regional Distribution ◽  
Green Energy ◽  
Energy Sources ◽  
Wide Range

AbstractSudan is an agricultural country with fertile soil and ample water resources, as well as livestock and forestry resources, and agricultural residues. Energy is one of the key factors in the development of Sudan's national economy. We present an overview of the energy situation in Sudan, with reference to its end uses and its regional distribution. We separate energy sources into two main types: conventional energy (biomass, petroleum products, and electricity) and non-conventional energy (solar power, wind energy, hydro-electric, etc.). Sudan has a relatively high abundance of sunshine and solar radiation, and has moderate biomass, hydro-electric and wind energy resources. Exploiting the available new and renewable energy sources to provide part of the local energy demand, as alternatives to conventional fossil energy, has become a major issue in Sudan's strategic planning of future energy policies. Sudan presents an important case study with respect to renewable energy, as it has a long history of meeting its energy needs by use of renewable sources; Sudan's portfolio is broad and diverse, due in part to the country's wide range of climates and landscapes. Like many African frontrunners in the utilisation of renewable energy, Sudan has a well-defined commitment to continue research, development, and implementation of new technologies. Sustainable low-carbon energy scenarios in the new century emphasize the importance of exploiting the untapped potential of renewable resources. Sudan's rural areas in particular, can benefit from this transition. The increased availability of reliable and efficient energy services will stimulate the development of new alternatives. We conclude that using renewable, environmentally friendly energy must be encouraged, promoted, implemented, and demonstrated by full-scale energy plants or collection devices, in particular for use in remote rural areas.

Green energy optimization in energy harvesting wireless sensor networks

2015 ◽  
Vol 53 (11) ◽  
pp. 150-157 ◽  
Author(s):  
Jianchao Zheng ◽  
Yueming Cai ◽  
Xuemin Shen ◽  
Zhongming Zheng ◽  
Weiwei Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Energy Optimization ◽  
Green Energy ◽  
Wireless Sensor

Fault Tolerant Reliable Protocol (FTRP) Performance Evaluation in Wireless Sensor Networks: An Extensitive Study

2019 ◽  
pp. 1-36
Keyword(s):  
Wireless Sensor Networks ◽  
Fault Tolerance ◽  
Sensor Networks ◽  
Fault Tolerant ◽  
Cluster Head ◽  
Biological Data ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Good Performer ◽  
Wide Range

Fault Tolerant Reliable Protocol (FTRP) is proposed as a novel routing protocol designed for Wireless Sensor Networks (WSNs). FTRP offers fault tolerance reliability for packet exchange and support for dynamic network changes. The key concept used is the use of node logical clustering. The protocol delegates the routing ownership to the cluster heads where fault tolerance functionality is implemented. FTRP utilizes cluster head nodes along with cluster head groups to store packets in transient. In addition, FTRP utilizes broadcast, which reduces the message overhead as compared to classical flooding mechanisms. FTRP manipulates Time to Live values for the various routing messages to control message broadcast. FTRP utilizes jitter in messages transmission to reduce the effect of synchronized node states, which in turn reduces collisions. FTRP performance has been extensively through simulations against Ad-hoc On-demand Distance Vector (AODV) and Optimized Link State (OLSR) routing protocols. Packet Delivery Ratio (PDR), Aggregate Throughput and End-to-End delay (E-2-E) had been used as performance metrics. In terms of PDR and aggregate throughput, it is found that FTRP is an excellent performer in all mobility scenarios whether the network is sparse or dense. In stationary scenarios, FTRP performed well in sparse network; however, in dense network FTRP’s performance had degraded yet in an acceptable range. This degradation is attributed to synchronized nodes states. Reliably delivering a message comes to a cost, as in terms of E-2-E. results show that FTRP is considered a good performer in all mobility scenarios where the network is sparse. In sparse stationary scenario, FTRP is considered good performer, however in dense stationary scenarios FTRP’s E-2-E is not acceptable. There are times when receiving a network message is more important than other costs such as energy or delay. That makes FTRP suitable for wide range of WSNs applications, such as military applications by monitoring soldiers’ biological data and supplies while in battlefield and battle damage assessment. FTRP can also be used in health applications in addition to wide range of geo-fencing, environmental monitoring, resource monitoring, production lines monitoring, agriculture and animals tracking. FTRP should be avoided in dense stationary deployments such as, but not limited to, scenarios where high application response is critical and life endangering such as biohazards detection or within intensive care units.

scholarly journals Problems of Powering End Devices in Wireless Networks of the Internet of Things

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2417
Author(s):  
Andrzej Michalski ◽  
Zbigniew Watral
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Wireless Sensor ◽  
Alternative Possibilities ◽  
The Internet ◽  
Power Sources ◽  
Wide Range ◽  
The Internet Of Things

This article presents the problems of powering wireless sensor networks operating in the structures of the Internet of Things (IoT). This issue was discussed on the example of a universal end node in IoT technology containing RFID (Radio Frequency Identification) tags. The basic methods of signal transmission in these types of networks are discussed and their impact on the basic requirements such as range, transmission speed, low energy consumption, and the maximum number of devices that can simultaneously operate in the network. The issue of low power consumption of devices used in IoT solutions is one of the main research objects. The analysis of possible communication protocols has shown that there is a possibility of effective optimization in this area. The wide range of power sources available on the market, used in nodes of wireless sensor networks, was compared. The alternative possibilities of powering the network nodes from Energy Harvesting (EH) generators are presented.

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