Survey on wireless sensor network devices

Vieira, Marcos A. M.; Coelho, Carlyle Mendes; Silva, D.C. da; Mata, José M.

doi:10.1109/etfa.2003.1247753

Cited by 257 publications

(150 citation statements)

References 7 publications

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“…The rise of cheap mobile telephony has driven down the costs of 32-bit processors (especially those based around the ARM architecture (Furber, 1996)), and this is increasingly creating lower cost microcontrollers and System-on-Chip (SoC) devices based on ARM. However, there are still many IoT devices built on 8-bit processors, and occasionally, 16-bit (Vieira et al, 2003). In particular the open source hardware platform Arduino (Arduino, 2015) supports both 8-bit and 32-bit controllers, but the 8-bit controllers remain considerably cheaper and at the time of writing are still widely used.…”

Section: Device and Hardwarementioning

confidence: 99%

A survey of secure middleware for the Internet of Things

Fremantle

Scott

2017

PeerJ Computer Science

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The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper reviews the current literature on the challenges and approaches to security and privacy in the Internet of Things, with a strong focus on how these aspects are handled in IoT middleware. We focus on IoT middleware because many systems are built from existing middleware and these inherit the underlying security properties of the middleware framework. The paper is composed of three main sections. Firstly, we propose a matrix of security and privacy threats for IoT. This matrix is used as the basis of a widespread literature review aimed at identifying requirements on IoT platforms and middleware. Secondly, we present a structured literature review of the available middleware and how security is handled in these middleware approaches. We utilise the requirements from the first phase to evaluate. Finally, we draw a set of conclusions and identify further work in this area.

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Section: Device and Hardwarementioning

confidence: 99%

A survey of secure middleware for the Internet of Things

Fremantle

Scott

2017

PeerJ Computer Science

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“…Other well-known approaches involves letting the sensor data influence a digital pulse train of which we easily can measure parameters like frequency, pulse width or duty cycle. None of these approaches put the power consumption of the sensor into focus [12] because it is assumed that energy is not a limiting factor and that all data should be transferred to some computational stage at the WSN/IoT node or any device higher up in the system architecture.…”

Section: System Architecturementioning

confidence: 99%

Concepts and architecture for a thumb-sized smart IoT ultrasound measurement system

Delsing

Deventer

Eliasson

et al. 2016

2016 IEEE International Ultrasonics Symposium (IUS)

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Abstract-This paper presents the technology concepts for a "thumb"-sized self-contained ultrasonic IoT measurement system. An overall architecture is proposed, and key elements are discussed with solutions using existing technology, thus arguing that realization is possible with the current technology.Such an ultrasonic IoT measurement system is constrained by its size and available energy, although it requires at least decent computational and communication resources. Because streaming data from such a device is not advisable from an energy viewpoint, there is a need for resource efficient (energy, memory and computational power) data analysis.An architecture with the following parts as well as some implementation details and performance data are proposed here:• Energy supply, battery and super capacitor • Transducer excitation achieving almost zero electrical losses • Event detection sensor interface • Data aggregation using sparse approximation and learned feature dictionaries, adapted to resource constrained embedded systems • IoT communication protocols and implementations enabling event -based communication and System of Systems integration capabilities The optimization of system level performance requires each subsystem to be optimized for the specific measurement situation taking into account the subsystem interdependencies. This can be performed using a combined electrical and acoustical model of the system. Here, the model allowing electronic and acoustic co-simulation using SPICE is an important tool bridging the electronic and acoustic domains.

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“…Precision agriculture is very much useful in improving the efficiency of performance of agricultural land and also increases the quality and reliability in spite of the ruggedness in the environment [4]. The effect over the growth of crops due to the presence of obstacles in the internode's communication is compared with the performance of sensor node in the greenhouse environment running with low power operation by Hyun-Joong Kang [5]. The existing wireless sensor networks like ZigBee, Bluetooth and WiFi are operated with 2.4 GHz Industrial Specific and Medical (ISM) band which are applicable for modern precision agriculture [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Turmeric Finger Disease and Growth Characteristics Using Sensor Based Embedded System —A Novel Method

Shanmugam¹,

Ramasamy²,

Paramasivam³

et al. 2016

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In this cyber era, novelty plays a prime role in the field of agriculture that majorly depends on computer-based measurements and control. Herein before, it was totally controlled and performed by the agriculturists. One of the technological innovative methods to measure and monitor the turmeric finger growth characteristics is the embedded system that is based on sensor array module such as flex sensor, temperature sensor and pH sensor. The experimental work has been designed and tested with five set of nodes and the growth of turmeric finger is tenuously monitored by measuring the change in flex resistance. Out of five nodes, two nodes were diseased. Deliberately, one node was left as such and the other node was treated with natural pesticides (pseudomonas and viride) to restrict the rhizome rot disease attack. After cultivation, it was found that the rhizome rot disease attack on the node which was treated with pesticides was comparatively lesser than the other node. The five different nodes have been used in the experimental work with an average flex sensor resistance of 3.962 cm/kΩ. In a nutshell, this proposed method manifests the farmers to detect the rhizome rot disease at its earlier stage and to prevent it as well by screening the growth of the turmeric fingers when it is under the soil.

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Survey on wireless sensor network devices

Cited by 257 publications

References 7 publications

A survey of secure middleware for the Internet of Things

A survey of secure middleware for the Internet of Things

Concepts and architecture for a thumb-sized smart IoT ultrasound measurement system

Monitoring the Turmeric Finger Disease and Growth Characteristics Using Sensor Based Embedded System —A Novel Method

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