Power Sources for Wireless Sensor Networks

2008 ◽  
pp. 267-286 ◽  
Author(s):  
Dan Steingart
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Power Sources

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.

scholarly journals CONE: A Connected Dominating Set-Based Flooding Protocol for Wireless Sensor Networks

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2378 ◽  
Author(s):  
Dennis Lisiecki ◽  
Peilin Zhang ◽  
Oliver Theel
Keyword(s):  
Energy Efficiency ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Dominating Set ◽  
Average Energy ◽  
Connected Dominating Set ◽  
Wireless Sensor ◽  
Dominating Sets ◽  
Power Sources ◽  
Network Flooding

Wireless sensor networks (WSNs) play a significant role in a large number of applications, e.g., healthcare and industry. A WSN typically consists of a large number of sensor nodes which rely on limited power sources in many applications. Therefore, improving the energy efficiency of WSNs becomes a crucial topic in the research community. As a fundamental service in WSNs, network flooding offers the advantages that information can be distributed fast and reliably throughout an entire network. However, network flooding suffers from low energy efficiency due to the large number of redundant transmissions in the network. In this work, we exploit connected dominating sets (CDS) to enhance the energy efficiency of network flooding by reducing the number of transmissions. For this purpose, we propose a connected dominating set-based flooding protocol (CONE). CONE inhibits nodes that are not in the CDS from rebroadcasting packets during the flooding process. Furthermore, we evaluate the performance of CONE in both simulations and a real-world testbed, and then we compare CONE to a baseline protocol. Experimental results show that CONE improves the end-to-end reliability and reduces the duty cycle of network flooding in the simulations. Additionally, CONE reduces the average energy consumption in the FlockLab testbed by 15%.

scholarly journals ENERGY HARVESTING TECHNIQUES IN WIRELESS SENSOR NETWORKS

2018 ◽  
Vol 17 (2) ◽  
pp. 117
Author(s):  
Tatjana Nikolić ◽  
Mile Stojčev ◽  
Goran Nikolić ◽  
Goran Jovanović
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Harvesting ◽  
Electrical Power ◽  
Electrical Energy ◽  
Wireless Sensor ◽  
Design Solution ◽  
Basic Operation ◽  
Alternative Source ◽  
Power Sources

Batteries are the main source of energy for low-power electronics such as micro-electro mechanical systems (MEMS), wireless sensor networks, embedded devices for remote sensing and control, etc. With the limited capacity of finite power sources and the need for supplying energy for the lifetime of a system/device there is a requirement for self-powered devices. Using conventional batteries is not always good design solution because batteries require human intervention to replace them (very often in hard-accessible and harsh-environmental conditions). Therefore, acquiring the electrical power, by using an alternative source of energy that is needed to operate these devices is a major concern. The process of extracting energy from the surrounding environment and converting it into consumable electrical energy is known as energy harvesting or power scavenging. The energy harvesting sources can be used to increase the lifetime and capability of the devices by either replacing or augmenting the battery usage. There are various forms of energy that can be scavenged, like solar, mechanical, thermal, and electromagnetic. Nowadays, there is a big interest in the field of research related to energy harvesting. This paper represents a survey for identifying the sources of energy harvesting and describes the basic operation of principles of the most common energy harvester. As first, we present, in short, the conversion principles of single energy source harvesting systems and point to their benefits and limitations in their usage. After that, hybrid structures of energy harvesters which simultaneously combine scavenged power from different ambient sources (solar, thermoelectric, electromagnetic), with aim to support higher load at the output, are considered.

scholarly journals THE DEPENDENCE BETWEEN THE NUMBER OF ROUNDS AND IMPLEMENTED NODES IN LEACH ROUTING PROTOCOL-BASED SENSOR NETWORKS

2017 ◽  
Vol 7 (3) ◽  
pp. 60-63
Author(s):  
Volodymyr Mosorov ◽  
Sebastian Biedroń ◽  
Taras Panskyi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Power Sources ◽  
Limited Power ◽  
Total Freedom ◽  
Effective Use

In the 21st century wireless sensor networks have gained much popularity due to their flexibility. This progress has enabled the use of sensor nodes on an unprecedented scale and opened new opportunities for the so-called ubiquitous computerization. The total freedom of nodes distribution within the wireless network, where the wireless characteristic is one of the greatest advantages of the use of wireless sensor networks, implies its greatest weakness, i.e. the limitation of mobile power sources. To overcome this challenge specialized routing protocols, such as LEACH, were ushered in for making the effective use of the energy of the nodes themselves. The purpose of this article is to show how the life of a sensor network depends on the number of nodes equipped with a mobile limited power source.

scholarly journals Building Energy Efficient Wireless Sensor Networks

2017 ◽  
Vol 63 (1) ◽  
pp. 45-49
Author(s):  
Alexander Cherepanov ◽  
Igor Tyshchenko ◽  
Mariia Popova ◽  
Dmitriy Vakhnin
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Building Energy ◽  
Wireless Sensor ◽  
Solar Panels ◽  
Power Sources ◽  
Existing Problems ◽  
Wind Generators ◽  
Available Energy ◽  
System Power

Abstract This article provides an overview of the existing problems in the construction of wireless sensor networks (WSN), in particular the problem of energy efficiency of the system. In many cases, the WSN is set in places where the connection to the stationary power sources is difficult or impossible. Such situations require the use of autonomous energy sources: traditional (batteries) or alternative (solar panels, wind generators, etc.). Due to limitations in the available system power there is obvious need in efficient use of available energy resources.

Multimedia Transmission over Wireless Sensor Networks

2011 ◽  
pp. 116-132
Author(s):  
Nalin Sharda
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Multimedia Information ◽  
Wireless Sensor ◽  
Wireless Multimedia ◽  
Multimedia Transmission ◽  
Power Sources ◽  
Multimedia Sensor Networks ◽  
Delay Jitter ◽  
Content Capture

This chapter presents an overview of multimedia information transmission over Wireless Sensor Networks (WSNs). These WSNs have evolved since the 1980s and their evolution can be divided into three generations. Wireless Multimedia Sensor Networks (WMSNs) have become viable in recent years with the availability of inexpensive video cameras, increase in procession power and memory capacity of nodes, and better power sources and their management. Multimedia information requires higher bandwidth and lower delay and delay jitter to provide the required Quality of Service (QoS) for multimedia transmission. Further research is being conducted, and can be taken even further, in the areas of advanced algorithms for content capture, compression and communication of multimedia information over WSNs.

scholarly journals Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A Survey

2014 ◽  
Vol 2014 ◽  
pp. 1-20 ◽  
Author(s):  
Gongbo Zhou ◽  
Linghua Huang ◽  
Wei Li ◽  
Zhencai Zhu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Alternative Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Nodes ◽  
Power Sources ◽  
Limited Life ◽  
Great Progress ◽  
Self Powered

In recent years, wireless sensor networks (WSNs) have grown dramatically and made a great progress in many applications. But having limited life, batteries, as the power sources of wireless sensor nodes, have restricted the development and application of WSNs which often requires a very long lifespan for better performance. In order to make the WSNs prevalent in our lives, an alternative energy source is required. Environmental energy is an attractive power source, and it provides an approach to make the sensor nodes self-powered with the possibility of an almost infinite lifetime. The goal of this survey is to present a comprehensive review of the recent literature on the various possible energy harvesting technologies from ambient environment for WSNs.

Power Sources for Wireless Sensor Networks

2004 ◽  
pp. 1-17 ◽  
Author(s):  
Shad Roundy ◽  
Dan Steingart ◽  
Luc Frechette ◽  
Paul Wright ◽  
Jan Rabaey
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Power Sources

Ant Colony Based Data Aggregation in Real Time Wireless Sensor Networks

2019 ◽  
Vol 16 (9) ◽  
pp. 3802-3807 ◽  
Author(s):  
Anuj Kumar Jain ◽  
Sandip Goel ◽  
Devendra Prasad ◽  
Avinash Sharma
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Data Aggregation ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Natural Phenomenon ◽  
Power Sources ◽  
Network Latency ◽  
Aggregation Technique

Sensing the natural phenomenon, sensing the eventual activities, sensing the abrupt change in human developed systems has a wide number of applications. To sense, one needs the tiny sensor devices called sensor nodes. To collect the data from these devices, one has to arrange these tiny devices into a intelligently managed network, called as sensor networks. Due to mostly unattended application areas and zones, these devices are supposed to be wireless which adds one more dimension to our discussion, known as wireless sensor networks. So basically these are an intelligent arrangement of small, tiny sensing devices with wide array of attributes, namely, sensing ability, low communication range mechanism, limited power sources, small processing ability, small memory. With these limitations, even handling a small data generated/sensed in the network becomes crucial to handle. Therefore there has to be an effective data aggregation technique. The prime goal of any data aggregation algorithms is to collect/retrieve/gather the data in an efficient possible way so that the effort to communicate the data over the network can be reduced. Less work from the network means less energy dissipated, thus lifetime can be enhanced. An effective data aggregation technique reduces the latency also. Small network latency is crucial for time critical applications in real time wireless sensor networks. Ant colony based optimization provides us such a possibility to find an optimal route for efficient data aggregation with significantly reduced network latency. In our work, Ant colony based Data Aggregation in Real Time wireless sensor networks (ACDAR), Ants use their pheromones to establish a new path or follow already established path by other ants. Similarly data packets in wireless sensor networks can take advantage of freshly established paths by Route Ants. As the results received, it is verified that number of packets successfully delivered to the sink have increased and the miss ratio, cumulative packets consumption have improved, network latency has decreased.

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