scholarly journals FPGA Based Single Chip Solution with 1-Wire Protocol for the Design of Smart Sensor Nodes

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
M. D. R. Perera ◽  
R. G. N. Meegama ◽  
M. K. Jayananda

Applications that involve monitoring of water quality parameters require measuring devices to be placed at different geographical locations but are controlled centrally at a remote site. The measuring devices in such applications need to be small, consume low power, and must be capable of local processing tasks facilitating the mobility to span the measuring area in a vast geographic area. This paper presents the design of a generalized, low-cost, reconfigurable, reprogrammable smart sensor node using a ZigBee with a Field-Programmable Gate Array (FPGA) that embeds all processing and communication functionalities based on the IEEE 1451 family of standards. Design of the sensor nodes includes processing and transducer control functionalities in a single core increasing the speedup of processing power due to interprocess communication taking place within the chip itself. Results obtained by measuring the pH value and temperature of water samples verify the performance of the proposed sensor node.

2020 ◽  
pp. 959-988
Author(s):  
Dilum Rukshan Perera ◽  
K. S. Mannathunga ◽  
R. A. D. D. Dharmasiri ◽  
Ravinda Gayan Meegama ◽  
Kithsiri Jayananda

Applications that involve monitoring of environmental parameters require measuring devices to be placed at different geographical locations but are controlled centrally at a remote site. The measuring devices in such applications need to be physically small, consume low power, and must be capable of local processing tasks facilitating the mobility to span the measuring area in a vast geographic area. This chapter presents the design of a generalized, re-configurable, re-programmable smart sensor node using a Zigbee with a Field-Programmable Gate Array (FPGA) that embeds all processing and communication functionalities based on the IEEE 1451 family of standards. Design of the sensor nodes includes communication, processing and transducer control functionalities in a single core increasing the speedup of processing power due to inter-process communication taking place within the chip itself.


Author(s):  
Dilum Rukshan Perera ◽  
K. S. Mannathunga ◽  
R. A. D. D. Dharmasiri ◽  
Ravinda Gayan Meegama ◽  
Kithsiri Jayananda

Applications that involve monitoring of environmental parameters require measuring devices to be placed at different geographical locations but are controlled centrally at a remote site. The measuring devices in such applications need to be physically small, consume low power, and must be capable of local processing tasks facilitating the mobility to span the measuring area in a vast geographic area. This chapter presents the design of a generalized, re-configurable, re-programmable smart sensor node using a Zigbee with a Field-Programmable Gate Array (FPGA) that embeds all processing and communication functionalities based on the IEEE 1451 family of standards. Design of the sensor nodes includes communication, processing and transducer control functionalities in a single core increasing the speedup of processing power due to inter-process communication taking place within the chip itself.


2014 ◽  
Vol 1078 ◽  
pp. 254-257
Author(s):  
Yue Wang ◽  
Tian Jun Lu

Smart sensor has the following three advantages: realize the information acquisition of high precision and low cost, it relates to the micro mechanical and microelectronic, signal processing and computer technology. The purpose of data mining is to discover knowledge. Knowledge of association rules mining aims to find out the related information hidden in the database. The paper presents application analysis of smart sensor node based on data mining association technology. Experimental results show the proposed methodology has advantages in the management of the intelligent node.


Author(s):  
F. Guo ◽  
H. Zhou ◽  
J. Wei ◽  
Z. Wei

With the wide applications of Internet of Things technology, the design and fabrication of small size sensor nodes with high sensitivity at low cost will be the main direction of development. In this paper, the important design requirements and design drivers for the manufacturing of wireless micro sensor node based on printed electronics technology are analysed and reviewed. The micro-sensor nodes fabricated can be powered with solar cell. The production cost could be effectively reduced and the life of the system is extended. The sensor nodes could be widely used for real-time monitoring in wide areas.


2021 ◽  
Author(s):  
Kam Ng

This research project investigated the potential in using a Wi‐Fi sensor network composed of Open Mesh sensor nodes to measure both localized and non‐localized occupants in the Architecture Building at Ryerson University with two different sensor node configurations. It also experimented with the use of Raspberry Pi, a low‐cost infrared motion sensor, as a people counter. The results show that the proposed sensor network is not capable of measuring non‐localized (transient) occupants due to their short duration of stay in the measurement area. The number of non‐localized occupants and their duration of stay can be more accurately measured by the people counter. As for localized (in one location for longer periods) occupants, the results find that while the proposed system cannot provide an accurate occupant count, it can produce a fairly accurate overall occupancy pattern under both perimeter node and single node configurations


2020 ◽  
Vol 165 ◽  
pp. 03060
Author(s):  
Fan Heng

The water quality monitoring system proposed in this paper is to establish a monitoring system by using the ZigBee technology .The sensor nodes are placed in the monitoring area to form a tree-type network topology, and the data of the water quality parameters (including PH value, turbidity, water temperature, electric conductivity, etc.) are collected and analyzed. This paper mainly expounds the construction of the hardware system of the monitoring system, establishes the test model of the hardware system, simulates the placement of the sensor node to obtain the experimental data, and provides the hardware test result for the overall system design.


2021 ◽  
Author(s):  
Kam Ng

This research project investigated the potential in using a Wi‐Fi sensor network composed of Open Mesh sensor nodes to measure both localized and non‐localized occupants in the Architecture Building at Ryerson University with two different sensor node configurations. It also experimented with the use of Raspberry Pi, a low‐cost infrared motion sensor, as a people counter. The results show that the proposed sensor network is not capable of measuring non‐localized (transient) occupants due to their short duration of stay in the measurement area. The number of non‐localized occupants and their duration of stay can be more accurately measured by the people counter. As for localized (in one location for longer periods) occupants, the results find that while the proposed system cannot provide an accurate occupant count, it can produce a fairly accurate overall occupancy pattern under both perimeter node and single node configurations


Author(s):  
Kevin M. Farinholt ◽  
Stuart G. Taylor ◽  
Timothy G. Overly ◽  
Gyuhae Park ◽  
Charles R. Farrar

This paper presents recent developments in an extremely compact, wireless impedance sensor node for use in structural health monitoring (SHM). The sensor node uses a low-cost integrated circuit that can measure and record the electric impedance of a piezoelectric active-sensor. The sensor node also integrates several components, including a microcontroller for local computing, telemetry for wireless data transmission, multiplexers for managing up to seven piezoelectric transducers per node, energy storage mediums, and several triggering options including a wireless triggering circuit into one package to truly realize a comprehensive, self-contained wireless active-sensor node for SHM applications. It is estimated that this sensor node requires less than 75 mW of total power to operate measurement, computation and data transmission. In addition, the sensor node can also be used for the active-sensor self-diagnostic process that can monitor the operational condition of piezoelectric transducers used in SHM applications. The performance of this miniaturized and portable device is compared to our previous results and its broader capabilities are demonstrated.


Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2429 ◽  
Author(s):  
Rosario Arjona ◽  
Miguel Prada-Delgado ◽  
Javier Arcenegui ◽  
Iluminada Baturone

Security is essential in sensor nodes which acquire and transmit sensitive data. However, the constraints of processing, memory and power consumption are very high in these nodes. Cryptographic algorithms based on symmetric key are very suitable for them. The drawback is that secure storage of secret keys is required. In this work, a low-cost solution is presented to obfuscate secret keys with Physically Unclonable Functions (PUFs), which exploit the hardware identity of the node. In addition, a lightweight fingerprint recognition solution is proposed, which can be implemented in low-cost sensor nodes. Since biometric data of individuals are sensitive, they are also obfuscated with PUFs. Both solutions allow authenticating the origin of the sensed data with a proposed dual-factor authentication protocol. One factor is the unique physical identity of the trusted sensor node that measures them. The other factor is the physical presence of the legitimate individual in charge of authorizing their transmission. Experimental results are included to prove how the proposed PUF-based solution can be implemented with the SRAMs of commercial Bluetooth Low Energy (BLE) chips which belong to the communication module of the sensor node. Implementation results show how the proposed fingerprint recognition based on the novel texture-based feature named QFingerMap16 (QFM) can be implemented fully inside a low-cost sensor node. Robustness, security and privacy issues at the proposed sensor nodes are discussed and analyzed with experimental results from PUFs and fingerprints taken from public and standard databases.


Author(s):  
Lukman Awaludin ◽  
Oktaf Agni Dhewa

Landslides are one of the natural disasters that often occur in Indonesia. Therefore, this disaster cannot be eliminated, but it can minimize the disadvantage caused by an early warning mechanism. Early warning systems rely on a sensor node used to read soil conditions with specific parameters. Those parameters that are read lead to the detection of mass movements. With the tightness of the monitoring process, of course, a reliable sensor node is needed. However, there are challenges in how to minimize losses that occur due to damage to sensor nodes when landslides occur. Sensor nodes are made using IMU sensors to monitor mass movements and its use two processors, namely microcontroller and mini SBC, which are inexpensive to manufacture and do not require large space in the installation.


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