Remote Sensor Network Research Articles

Influence of Clamor on the Transmission of Worms in Remote Sensor Network

Wireless Sensor Network (WSN) with remote sensing capability is gaining popularity in many of the real time applications such as military, healthcare, environment, home and other commercial applications.WSN is typically composed of various components such as sensor node, relay node, cluster head, gateway, base station. Such a critical network is vulnerable to most dangerous threats caused by worms towards the integrity and confidentiality of information passed through it. The study of the influence of clamor in propagation of potential of worm in WSN is of more significance. In this paper, a logical model is proposed that is reliant on pandemic theory. It is an improvement of the SIRS, SEIS and models. We propose an altered SEIRS (Susceptible-Exposed-Infectious-Recovered-Susceptible) model with the added substance background noise that overcomes the drawbacks of the existing models. The close by adequacy of the model has been affirmed using Lyapunov’s work. We similarly address the effect of node fluctuations in the model through numerical simulations that is carried out to prove that our proposed system is mean square stable and resistance against fluctuations with respect to the spread of worms.

Detect the Replication Attack on Wireless sensor network by Using Intrusion Detection System

Remote sensor systems are conveyed in dense regions wherever the sensor nodes are physically seized by intruders. As several nodes take care of the entire group area, the captured nodes are repeated. To rectify this attack, a response was provided. Be that as it may, because of the absence of improvements in the device size, these structures have low efficiency to recognize the clone hubs quickly. In order to quickly locate the clone hubs, an expansion calculation is generated in this paper with the improved LEACH called NI-LEACH convention which is utilized to limit the group by taking the vitality of every hub and the minimum range of clusters. In addition to this protocol, an IDS (Intrusion Detection System) calculation is designed and generated by doling out screen hubs in the remote sensor organization to identify replication assaults. Reenactment findings show that in remote sensor networks the new calculation is straightforward and powerful to implement. With a high probability proportion, a harmful centre can be reliably detected and established and ideal throughput can also be achieved all the while.The limit of the method is expanded definitely byconsuming this calculation against the clone hub assault byintruders.

Industrial Air Pollution Monitoring System Using LABVIEW and ZIGBEE

A ZigBee-based remote sensor network is executed in this paper which is of minimal expense sun-oriented controlled air quality observing framework. The principal objective of the proposed engineering is to interfacing different sensors to gauge the sensor simple information and showed in LABVIEW on the screen utilizing the graphical UI (GUI). The ongoing encompassing air quality checking in shrewd urban communities is of more noteworthy importance for the strength of individuals. The remote organization sensor hubs are put at various traffic lights in the shrewd urban areas which gather and report continuous information on various gases which are available in the climate like carbon monoxide (CO), nitrogen dioxide (NO 2), methane (CH4), and stickiness. The proposed framework permits shrewd urban areas to screen air quality conditions on a work area/PC an application planned utilizing graphical programming-based LABVIEW programming and gives a caution if the air quality attributes surpass worthy levels. The sensor network was effectively tried on the grounds of the organization of aeronautical designing, Hyderabad. The sensor information is shown by various pointers on the front board of LABVIEW and furthermore, various outlines are plotted with regard to time and abundance which clarifies the seriousness of dirtied zones.

RETRACTED: Network optimization of hospital computer processing system and clinical effect of alendronate in the treatment of premature ovarian failure

Abstract Mental perception, this information assortment in metropolitan zones, empowers the human body and physiology to be driven by the requirement for gathered information in the space accessible from the most recent available people of innovation. The cycle of activity is the rise of clinical remote sensor networks as of late. With this investigation, the well-being field has some basic applications because of their necessary degrees of unwavering quality and clinical information protection. Since need to guarantee security, examine the difficulties of remote sensor networks in sending cites. These difficulties are exacerbated by the shortage of assets inalienable in remote sensor network destinations. The enormous scope of physiological and conduct examines the utilization of columns from perception physiology and capacity area examination to introduce a model structure that features progressing issues. Illnesses that distinguish themselves other than estragon lack incorporate essential parathyroids, thyroid harmfulness, and cardiac infection. It builds the danger of cracks more than estrogen and bisphosphonates, particularly non-vertebral breaks, causing expanded thyroid hormone treatment. It doesn't invigorate bone development and acts by forestalling bone devastation if this everyday mixture follows.

RETRACTED: Development of Art Industry Park Based on FPGA and Wireless Sensor

The fast ascent of innovative ventures park has become another pattern. Generally speaking, the act of park improvement has been a long way in front of its speculations, and the absence of hypothetical direction has become a bottleneck in confining the quick and sound advancement of innovative ventures. By drawing an exercise from the new financial topography and utilizing the improved 'center outskirts' model, the article examines the Art Zone arrangement system and uncovers its advancement issues. Along these lines, a few proposals are advanced: from one viewpoint, the focal region ought to hold the wellsprings of imagination by securing the inventiveness, controlling the rents and building a stage run the specialty of modern remote sensor organizations Industrial Wireless Sensor Networks (IWSNs). In this manner, given the business' needs, examine distinctive remote correspondence conventions, fundamental engineering, and open exploration that have been characterized. Furthermore, flow difficulties here of examination are talked about. To assess the real utilization of Industrial Wireless Sensor Networks IWSNs from research ventures in collaboration with neighborhood mechanical accomplices. To put it plainly, the viewpoint for the eventual fate of using the further turn of events and Industrial Wireless Sensor Networks (IWSNs) of this article will be the sketch.

A High-Sensitivity Temperature Sensor Based on a Liquid Cladding Tapered Microfiber

A high-sensitivity interferometric optical microfiber sensor based on liquid cladding is proposed to detect liquid samples temperatures in special environments. The sensor is manufactured by arc discharge and flame-brushing technology and is encapsulated in a capillary tube and covered with deionized water. The sensor is more susceptible to the influence of the external environment due to the strong evanescent field on the tapered fiber surface. High-sensitivity measurement near room temperature is important, which can be used for effective diagnosis and treatment of local temperature of biological tissues in the field of biosensing. Compared with the silica material, the sensor based on liquid encapsulation has a larger thermo-optical coefficient, and the difference between the thermo-optic coefficient of water and the optical fiber is greater. The results show that with increasing ambient temperature, the wavelength of the transmission spectrum shifts towards shorter wavelengths. The device without liquid packaging has a temperature sensitivity of −57 pm/°C, and the liquid-encapsulated microfiber can reach −415 pm/°C ranging from 30-50 °C, which is 7+ times higher than the former. In addition to improving the temperature sensitivity of the sensor, the water cladding can protect the microfiber from damage. This sensor can be used as a basic sensing unit in remote and intelligent optical fiber sensor networks with great application potential in marine environment monitoring, biomedicine diagnosis and chemical reaction research.

WITHDRAWN: Ecological landscape planning and design based on the Internet of Things system and VR technology

Abstract Intelligent, real-time, is essential to low-cost, the planning and design of a distributed ecosystem to understand, to manage the rapidly changing ecosystem. However, in the era of big data, most new technology, especially in remote areas of fragile ecosystems, it is not introduced to the planning and design of the business ecosystem. Innovative by using the Internet of things technology eco-system in the smart device planning and design and control system in the development and isolated environment, to establish the eco-system of the prototype, internet of things (IoT) technology it is introduced. Smart device development includes the following four categories: to planning the vegetation variables, carrying the relevant CO2 and D13C systems and dispersion device, situ observation, and soil respiration, for measuring evapotranspiration and soil moisture too, large and non-invasive instruments, and vr technology camera, the pressure trigger sensor terrestrial vertebrates planning and design. These new gadgets and is better than earlier workmanship gadgets are associated through a remote correspondence organization. The achievement of the IoT is arranging by the eco-framework that contains the new information lumberjack and the long-run remote sensor network innovation to help the quick transmission of information from the gadget to a remote organization. IoT to arranging the utilization of this environment, many desert zones of the stone, the Amur tiger in the National Park, a desert garden in China, has been affirmed in three of delicate biological systems, including a desert change zone. These gadgets and methods and environmental arranging and plan data frameworks, consistent information assortment, transmission, handling, made by, and IoT point use of. Incorporate on the grounds that it will give a stage to environment the executives and dynamic in the time of large information, to design the Internet of things, the foundation of this eco-framework, will be the new worldview for natural scene arranging.

NVIS Multicarrier Modulations for Remote-Sensor Applications.

The number of Internet of Things (IoT) devices has experienced a large growth during the last decade, as well as the data volume gathered from remote sensors. Satellites are still a suitable communication method and may be preferable for a remote ubiquitous sensor network (USN), which sometimes are located in places without much communications infrastructure where coverage is the principal drawback. Alternatively, the proposed solution for this article aims at a near-vertical incidence skywave (NVIS) channel for high frequencies (HF) with a low-cost platform, allowing a low-power transmissions coverage area up to 250 km for USN. The HF standards are focused on generic communication channels not being robust for NVIS communications. In this article we study and test an alternative based on orthogonal frequency-division multiplexing (OFDM) modulations to make them more robust and less dependent on the channel NVIS communications. For that purpose, we test the HF standard modulations and a designed OFDM modulation to prove the robustness of each. This study has been tested between Barcelona and Tarragona, using different transmission power levels and modulation orders.

Recital Evaluation of a M/G/1 Queuing system in Remote Sensor Networks

Recital Evaluation of a M/G/1 Queuing system in Remote Sensor Networks

Triboelectric nanogenerator for a repairable transistor with self-powered electro-thermal annealing

A metal-oxide-semiconductor field-effect transistor (MOSFET), which is an elementary unit of microelectronics, was repaired by self-powered electro-thermal annealing with the aid of a wind-driven triboelectric nanogenerator (TENG). It was thermally cured by Joule heat that originated electrically from the MOSFET itself. The configuration of the self-curable system is composed of a MOSFET with an embedded built-in Joule heater and a wind-driven TENG. This self-curable feature is attractive for the construction of remote wireless sensor networks, is capable of sustainable operation for long-term use, has high immunity against external environmental stress as well as internal operation stress, and can reduce labor during the periodic replacement of power sources. • Self-powered electro-thermal annealing was performed to cure the damaged electronic devices. • Electrical output of triboelectric nanogenerator was firstly used as Joule heat generation. • The electronic device was successfully cured by the SP-ETA from plural damage factors: γ-ray and hot carrier injection. • The Self-powered electro-thermal annealing was also verified at charge-trap based flash memory devices.

Sequestration Security in A Remote Sensor Network

Sequestration Security in A Remote Sensor Network

Application of Remote Wireless Sensor Network in Power System

This paper mainly studies the design and research of remote wireless sensor networks. This system features low power consumption, strong anti-interference ability, large capacity, real-time acquisition, and safe and reliable data transmission. The research idea of this paper: The host connects up to 255 extensions through the wireless transmission module, and the host sends standard MODBUS (RTU) access commands to control the operation of each extension.

A Secure Approach for Distinguishing Provenance Falsification and Bundle Drop Attacks in Remote Sensor Networks

Vast scale sensor systems are sent in various application areas, and the information they gather are utilized as a part of choice making for basic foundations. Information are spilled from different sources through middle of the road handling hubs that total data. A noxious enemy might present extra hubs in the system or bargain existing ones. Along these lines, guaranteeing high information dependability is pivotal for right choice making. Information provenance speaks to a key element in assessing the dependability of sensor information. Provenance administration for sensor systems presents a few testing necessities, for example, low vitality and transfer speed utilization, efficient capacity and secure transmission. In this paper, we propose a novel lightweight plan to safely transmit provenance for sensor information. The proposed system depends on inpacket Sprout filters to encode provenance. We present efficient systems for provenance verification and remaking at the base station. Moreover, we broaden the safe provenance plan with usefulness to identify bundle drop assaults organized by vindictive information sending hubs. We assess the proposed procedure both logically and observationally, and the outcomes demonstrate the viability and efficiency of the lightweight secure provenance plan in identifying parcel phony and misfortune assaults.

IOT PERCEPTION OF SMART FACTORY FOR ADDITIVE MANUFACTURING SYSTEM (ISFAMS) WITH A VISUAL EXAMINATION

The difficulties in an assembling framework are the absence of ideal, exact, and absence of data to included item forecast, shop floor assets, item stream, item review, item status to client, item conveyance status, and manufacturing plant adaption for a modified item. The proposed thought is to plan IoT representation based Smart Factory for Additive Manufacturing System (ISFAMS) that makes a route towards continuously from customary mechanization to a completely associated mass customization and adaptable digital actual framework. The ISFAMS uses a reliable stream of data from related errands and making structures to learn and change processing plant creations to new demands from the client. The framework uses the Industrial Controller to control the activity of individual frameworks and succession of item stream in the Smart Factory arrangement. The remote sensor network secures constant assembling data and data is put away, got to, and pictured utilizing distributed computing. The vision framework and mechanized stage empower the examination of the item's shape and measurements dependent on the AI approach and to move the item from area to segment and separate the item for bundling segment. This digitization of the assembling framework builds adaptability, dependability, savvy detecting and control, asset wastage, simple admittance to assembling data, and coordination with the executives.

Productive and Security in Remote Sensor Network using SNR

Remote Sensor Networks is presently generally spread the nation over. This contraption faculties and screens the physical state of our condition and assembles every one of the information gathered at a focal area called sink. The contribution to this contraption is the physical conditions and changes over it into electrical sign A collection of spatially distributed and dedicated sensors als o known as wire less sensor network, the hubs in the system have a restricted transmission, less vitality and less space. So to improve this we use grouping methods to give an effective method to build the lifetime of a WSN hence we are utilizing Signal to Noise Ratio (SNR) based bunching instrument This plan proposes an Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR-based Unique Bunchin g (ESRPSDC) that can isolate the sensor hubs into a few meeting s called as groups where one hub will be group head (CH) and n on-cluster head (NCH) adherents. These supporters will detect and gather the information and the information will be sent to group head. The bunch head will at that point send the information to the sink. We need group heads on the grounds that the hubs can't straightforwardly send information to the sink in view of less vitality.

Precision Agriculture Techniques and Practices: From Considerations to Applications

Internet of Things (IoT)-based automation of agricultural events can change the agriculture sector from being static and manual to dynamic and smart, leading to enhanced production with reduced human efforts. Precision Agriculture (PA) along with Wireless Sensor Network (WSN) are the main drivers of automation in the agriculture domain. PA uses specific sensors and software to ensure that the crops receive exactly what they need to optimize productivity and sustainability. PA includes retrieving real data about the conditions of soil, crops and weather from the sensors deployed in the fields. High-resolution images of crops are obtained from satellite or air-borne platforms (manned or unmanned), which are further processed to extract information used to provide future decisions. In this paper, a review of near and remote sensor networks in the agriculture domain is presented along with several considerations and challenges. This survey includes wireless communication technologies, sensors, and wireless nodes used to assess the environmental behaviour, the platforms used to obtain spectral images of crops, the common vegetation indices used to analyse spectral images and applications of WSN in agriculture. As a proof of concept, we present a case study showing how WSN-based PA system can be implemented. We propose an IoT-based smart solution for crop health monitoring, which is comprised of two modules. The first module is a wireless sensor network-based system to monitor real-time crop health status. The second module uses a low altitude remote sensing platform to obtain multi-spectral imagery, which is further processed to classify healthy and unhealthy crops. We also highlight the results obtained using a case study and list the challenges and future directions based on our work.

Remote monitoring of seawater temperature and pH by low cost sensors

Monitoring chemical and physical properties of seawater is important to assess the status and predict future changes of marine environment. Among possible parameters, pH and temperature are frequently measured since they directly affect chemical and biological systems. Seawater assessment, conventionally performed in situ, is labour intensive and time consuming, but now remote sensor networks promise to become a viable tool to obtain spatial and temporal information over a wide range. Here we describe the development and validation of an autonomous system for the remote monitoring of pH and temperature in seawater. The device consists of a graphene-based pH sensor, a thermistor, an electronic readout, a smartphone and a power unit. After deployment in a marine testing site at the Livorno harbour in Italy, the system published on the web pH and temperature data for more than a week, whose accuracy was confirmed by comparison with a reference system.

Enhanced path recreation in remote sensor networks

The remote specially appointed systems comprise of a gathering of remote hubs that impart over a typical remote medium. The hubs impart without a framework, for example, base station, wired passage, and so forth. The foundation of the systems must be in an appropriated and decentralized way. In this manner, the many-sided quality of the systems is in the hubs self. The hubs must have the capacity to take care of system’s concern, for example, directing and security. Regardless of the specialized difficulties, the interests of the impromptu systems increment quickly as of late, in light of the fact that they bolster portability and are exceptionally appropriate for some troublesome circumstances, such protect mission, military, vehicular interchanges, and so forth. In this review article, I present the idea of remote impromptu systems and uncommonly portable specially appointed system (MANET), their engineering, purposes, applications, preferences, burdens, and correlation with framework systems.

Affective analytics of demonstration sites

Multiple-criteria decision-making (MCDM) typically assumes that crowds make completely rational decisions. In MCDM, a crowd as a whole, or its individual members, generally make decisions free from any influence of valence, arousal, emotional state or environment. In contrast, various theories dealing with crowd psychology (Gustave Le Bon, Freudian, Deindividuation, Convergence, Emergent norm, Social identity) analyze, in one form or another, the emotions of the crowd. According to above theories, crowd is influenced by a range of behavioral factors, such as physical, social, psychological, culture, norms, and emotions. It can be argued that the emotional state, valence and arousal of crowds affect their decision making to a considerable degree and multiple criteria crowd behavior modeling must, therefore, consider this impact as well. In this light, the integration of crowd simulation and biometric methods, behavioral operations research and emotions in decision making has taken a prominent place as it leads to a better understanding of crowd emotions and crowd decision making. In this context, the authors developed the Affective Analytics of Demonstration Sites (ANDES) that added to this body of research in four ways. The crowd analysis and simulations conducted with ANDES used a neuro decision matrix. The matrix contains a detailed description of demonstration sites (public spaces) in question and the emotions, valence, arousal and physiological parameters of people present there. With ANDES’s Remote Sensor Network, emotional (emotions, valence, arousal) and physiological (average crowd facial temperature, crowd composition by gender and age group, etc.) parameters of people present at demonstration sites can be mapped. ANDES can assist experts in more effective implementations of public spaces planning and a participation process by attendees by collecting and examining various layers of data on the emotional and physiological parameters of visitors based on a visitors-centric public spaces planning approach. ANDES can determine the public space and real estate values.

A smart architecture design for health remote monitoring systems and heterogeneous wireless sensor network technologies: a machine learning breathlessness prediction prototype

In this paper, we propose a remote patient monitoring architecture based on WBAN wireless body sensor network for breathlessness prediction using machine learning mechanism, we develop a new gateway architecture able to interconnect heterogeneous sensor networks not equipped with the HTTP/TCP/UDP stack. To ensure interoperability and facilitate seamless access to data from different types of body sensors that communicates via multiple technologies. We have designed an application-layer approach for a web service gateway to interact with heterogeneous WSN. The gateway manages the service consumption and communicates with the server via the SOAP protocol. The proposed platform targeted to monitor and process patient health data. An improved machine learning algorithm is used for patient health status prediction to perform patient self-training models based on k-means algorithm. For our platform evaluation we study the gateway power consumption then we investigate the communication delay between the gateway and the server over three communication scenarios (3G, ADSL, LOCAL).