scholarly journals MIGOU: A Low-Power Experimental Platform with Programmable Logic Resources and Software-Defined Radio Capabilities

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4983 ◽  
Author(s):  
Ramiro Utrilla ◽  
Roberto Rodriguez-Zurrunero ◽  
Jose Martin ◽  
Alba Rozas ◽  
Alvaro Araujo
Keyword(s):  
Software Defined Radio ◽  
High Speed ◽  
Sensor Nodes ◽  
Wireless Sensor Nodes ◽  
Experimental Platform ◽  
Important Challenge ◽  
Iot Devices ◽  
Radio Transceiver ◽  
Power Measurements ◽  
New Applications

The increase in the number of mobile and Internet of Things (IoT) devices, along with the demands of new applications and services, represents an important challenge in terms of spectral coexistence. As a result, these devices are now expected to make an efficient and dynamic use of the spectrum, and to provide processed information instead of simple raw sensor measurements. These communication and processing requirements have direct implications on the architecture of the systems. In this work, we present MIGOU, a wireless experimental platform that has been designed to address these challenges from the perspective of resource-constrained devices, such as wireless sensor nodes or IoT end-devices. At the radio level, the platform can operate both as a software-defined radio and as a traditional highly integrated radio transceiver, which demands less node resources. For the processing tasks, it relies on a system-on-a-chip that integrates an ARM Cortex-M3 processor, and a flash-based FPGA fabric, where high-speed processing tasks can be offloaded. The power consumption of the platform has been measured in the different modes of operation. In addition, these hardware features and power measurements have been compared with those of other representative platforms. The results obtained confirm that a state-of-the-art tradeoff between hardware flexibility and energy efficiency has been achieved. These characteristics will allow for the development of appropriate solutions to current end-devices’ challenges and to test them in real scenarios.

scholarly journals A Framework for Constructing a Secure Domain of Sensor Nodes

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2797 ◽  
Author(s):  
Furtak ◽  
Zieliński ◽  
Chudzikiewicz
Keyword(s):  
Sensor Nodes ◽  
Limited Resources ◽  
Security Measures ◽  
Wireless Sensor Nodes ◽  
Software Configuration ◽  
Critical Areas ◽  
Iot Devices ◽  
Trusted Platform ◽  
Hostile Environments ◽  
The Internet Of Things

Application of the Internet of Things (IoT) in some critical areas (e.g., military) is limited mainly due to the lack of robust, secure, and trusted measures needed to ensure the availability, confidentiality, and integrity of information throughout its lifecycle. Considering the mostly limited resources of IoT devices connected by wireless networks and their dynamic placement in unsupervised or even hostile environments, security is a complex and considerable issue. In this paper, a framework which encompasses an approach to integrate some security measures to build a so-called “secure domain of sensors nodes” is proposed. The framework is based on the use of the Trusted Platform Modules (TPMs) in wireless sensor nodes. It encompasses an architecture of sensor nodes, their roles in the domain, and the data structures as well as the developed procedures which could be applied to generate the credentials for the sensor nodes, and subsequently, to build a local trust structure of each node as well as to build a trust relationship between a domain’s nodes. The proposed solution ensures the authentication of sensor nodes and their resistance against unauthorized impact with the hardware/software configuration allowing protection against malware that can infect the software. The usefulness of the presented framework was confirmed experimentally.

Insight and Applications in Energy Harvesting from Bullets to Birds

2012 ◽  
Vol 83 ◽  
pp. 59-68 ◽  
Author(s):  
Ephrahim Garcia ◽  
Michael W. Shafer ◽  
Matthew Bryant ◽  
Alexander Schlichting ◽  
Boris Kogan
Keyword(s):  
Energy Harvesting ◽  
Design Theory ◽  
Mechanical Design ◽  
Sensor Nodes ◽  
Wireless Sensor Nodes ◽  
Cornell University ◽  
Piezoelectric Energy ◽  
Beam Design ◽  
Machine Systems ◽  
New Applications

Power requirements for microelectronics continue a downward trend and power production from vibrational power harvesting is ever increasing. The result is a convergence of technology that will allow for previously unattainable systems, such as infinite life wireless sensor nodes, health monitoring systems, and environmental monitoring tags, among others. The Laboratory of Intelligent Machine Systems at Cornell University has made many significant contributions to this field, pioneering new applications of piezoelectric energy harvesting, as well as contributing to harvesting circuitry and mechanical design theory. In this work, we present a variety of new applications for energy harvesting technology, including infinite life avian based bio-loggers, flutter induced vibrational wind power, and in-flight energy harvesting in munitions. We also present theoretical contributions to the field including an energy harvester beam design guide and multisource energy harvesting circuitry.

scholarly journals Towards a Low-Cost Precision Viticulture System Using Internet of Things Devices

IoT ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Petros Spachos
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Low Cost ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor Nodes ◽  
Precision Viticulture ◽  
Iot Devices ◽  
Agricultural Areas ◽  
The Internet Of Things

Precision Agriculture (PA) is an ever-expanding field that takes modern technological advancements and applies it to farming practices to reduce waste and increase output. One advancement that can play a significant role in achieving precision agriculture is wireless technology, and specifically the Internet of Things (IoT) devices. Small, inch scale and low-cost devices can be used to monitor great agricultural areas. In this paper, a system for precision viticulture which uses IoT devices for real-time monitoring is proposed. The different components of the system are programmed properly and the interconnection between them is designed to minimize energy consumption. Wireless sensor nodes measure soil moisture and soil temperature in the field and transmit the information to a base station. If the conditions are optimal for a disease or pest to occur, a drone flies towards the area. When the drone is over the node, pictures are captured and then it returns to the base station for further processing. The feasibility of the system is examined through experimentation in a realistic scenario.

scholarly journals The Future of Low-End Motes in the Internet of Things: A Prospective Paper

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 111 ◽  
Author(s):  
Daniel Oliveira ◽  
Miguel Costa ◽  
Sandro Pinto ◽  
Tiago Gomes
Keyword(s):  
Internet Of Things ◽  
Reconfigurable Computing ◽  
Sensor Nodes ◽  
Security And Privacy ◽  
The Internet ◽  
Wireless Sensor Nodes ◽  
Privacy Concerns ◽  
Energy Needs ◽  
Iot Devices ◽  
The Internet Of Things

Undeniably, the Internet of Things (IoT) ecosystem continues to evolve at a breakneck pace, exceeding all growth expectations and ubiquity barriers. From sensor to cloud, this giant network keeps breaking technological bounds in several domains, and wireless sensor nodes (motes) are expected to be predominant as the number of IoT devices grows towards the trillions. However, their future in the IoT ecosystem still seems foggy, where several challenges, such as (i) device’s connectivity, (ii) intelligence at the edge, (iii) security and privacy concerns, and (iv) growing energy needs, keep pulling in opposite directions. This prospective paper offers a succinct and forward-looking review of recent trends, challenges, and state-of-the-art solutions of low-end IoT motes, where reconfigurable computing technology plays a key role in tomorrow’s IoT devices.

scholarly journals Non Volatile Low Power Wake up Radio Transceiver for Wireless Sensor Network

2019 ◽  
Vol 8 (9S) ◽  
pp. 687-691
Keyword(s):  
Power Consumption ◽  
Power Saving ◽  
False Alarm Probability ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Active Listening ◽  
Wireless Sensor Nodes ◽  
Idle Mode ◽  
Proposed Model ◽  
Radio Transceiver

Wireless sensor nodes consume lots of energy during communication but huge power consumption has been observed during active listening in idle mode as source nodes can start data transmission at any time. Power saving can be achieved by establishing synchronization among end nodes. Many rendezvous solutions are available and out of which wake up receiver found extremely adroit. A non volatile wake up transceiver has been proposed in the present paper that works on the basis of ID matching. State of art using 4GB of memory to remember states of sensor nodes while proposed technique used only 60 bits of memory with very less false alarm probability. Power consumption for proposed model is only 59.47 nW. Hence this model is quite effective in terms of power consumption and memory usage as compared to trailing models.

Improving Energy Efficiency in Internet of Things using Artificial Bee Colony Algorithm

2020 ◽  
Vol 14 ◽  
Author(s):  
M. Sivaram ◽  
V. Porkodi ◽  
Amin Salih Mohammed ◽  
S. Anbu Karuppusamy
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Artificial Bee Colony ◽  
Trust Model ◽  
Sensor Nodes ◽  
Remote Areas ◽  
Bee Colony ◽  
Important Concern ◽  
Wide Range ◽  
Iot Devices

Background: With the advent of IoT, the deployment of batteries with a limited lifetime in remote areas is a major concern. In certain conditions, the network lifetime gets restricted due to limited battery constraints. Subsequently, the collaborative approaches for key facilities help to reduce the constraint demands of the current security protocols. Aim: This work covers and combines a wide range of concepts linked by IoT based on security and energy efficiency. Specifically, this study examines the WSN energy efficiency problem in IoT and security for the management of threats in IoT through collaborative approaches and finally outlines the future. The concept of energy-efficient key protocols which clearly cover heterogeneous IoT communications among peers with different resources has been developed. Because of the low capacity of sensor nodes, energy efficiency in WSNs has been an important concern. Methods: Hence, in this paper, we present an algorithm for Artificial Bee Colony (ABC) which reviews security and energy consumption to discuss their constraints in the IoT scenarios. Results: The results of a detailed experimental assessment are analyzed in terms of communication cost, energy consumption and security, which prove the relevance of a proposed ABC approach and a key establishment. Conclusion: The validation of DTLS-ABC consists of designing an inter-node cooperation trust model for the creation of a trusted community of elements that are mutually supportive. Initial attempts to design the key methods for management are appropriate individual IoT devices. This gives the system designers, an option that considers the question of scalability.

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