industrial wireless sensor network (IWSN)

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A Survey on Industrial Wireless Sensor Network Routing Algorithms

A Survey on Industrial Wireless Sensor Network Routing Algorithms

B.Shahi, S.Dahal, A.Mishra, V.Kumar and P.Kumar introduced the review of genetic algorithm to increase the network lifetime by tiny communication distance. They have also present application areas of wireless sensor network [7]. L.Neeraja, B.Lokeshwara Rao and B.Suresh said that standards and applications which are used in industrial wireless sensor network. They are introduced few technologies of industrial applications like as Zigbee, Wireless HART, ISA100 [8]. Qun and Mohan[9] introduce CWGC algorithm uses a greedy algorithm to select the source set to cover the
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3-D multiobjective deployment of an industrial wireless sensor network for maritime applications utilizing a distributed parallel algorithm

3-D multiobjective deployment of an industrial wireless sensor network for maritime applications utilizing a distributed parallel algorithm

This paper aims at exploring the possibility of utilising biological inspired optimisation algorithms to efficiently solve the coverage problem in 3D WSNs for maritime application. In this paper, we study the 3D deployment problem of an IWSN in a 3D engine room space of a very large crudeoil carrier (VLCC), in which there are many power devices. To better consider the coverage problem, we propose a 3D directional sensing model by simultaneously considering the sensing distance and horizontal and vertical sensing angles, which is probabilistic to improve precision and practicability. Also, our model has considered supporting heterogeneous directional sensor nodes [21] with improved practicability.
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Comparative Evaluation of Three Wireless Sensor Network Transceivers in a High Radiation Environment

Comparative Evaluation of Three Wireless Sensor Network Transceivers in a High Radiation Environment

To examine the suitability of using industrial wireless sensor network devices in a high level radiation environment, three most commonly used wireless sensor network devices, ZigBee, WirelessHART, and ISA100.11a, have been tested in a radiation environment during on-power operations. A 60Co gamma radiation source is used to provide a consistent radiation environment. The operating conditions of key components on the devices are monitored continuously so that the first failed component can be identified in the post-analysis. It is interesting to observe that the wireless device based on ZigBee protocol has the strongest radiation tolerance, while WirelessHART and ISA100.11a devices share similar outcomes. A very important conclusion is that these devices can only survive for a limited amount of time, so much shorter than needed for use in a monitoring system for severe accident. Hence, adequate protections against total radiation exposure have to be taken either through shielding or redundant design. This study provides a useful reference for the design of wireless devices and networks to be deployed in high level radiation environments.
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Research on positioning method of industrial wireless sensor networks

Research on positioning method of industrial wireless sensor networks

Location data associated with wireless sensor networks represents critical information. Current developments in localization algorithms employed in industrial wireless sensor networks seek to adopt positioning methods that are more robust and stable, and more accurate and efficient while requiring a minimum of resources. Therefore, the present study capitalizes on the industrial wireless sensor network that has a strong correlation between applications to propose a positioning method design based on a Monte Carlo localization algorithm that is ideally suited to the narrow channel environment encountered in underground mining activities. The proposed positioning method offers very low computational complexity, which greatly reduces the use of network resources. Simulation experiments demonstrate that the proposed Monte Carlo localization algorithm provides strong stability and relatively high positioning accuracy.
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A Novel Approach for Sinkhole Detection in WSN Using Encryption Approach with Reverse Tracking

A Novel Approach for Sinkhole Detection in WSN Using Encryption Approach with Reverse Tracking

A Wireless Sensor Network is a group of specialized transducers with a communications infrastructure for monitoring and recording conditions at diverse locations. Commonly monitored parameters are temperature, humidity, pressure, wind direction and speed, illumination intensity, vibration intensity, sound intensity, power-line voltage, chemical concentrations, pollutant levels and vital body functions. Most of the modern networks are bi-directional, also enabling control of sensor activity. The development of Wireless Sensor Networks was motivated by military applications such as battlefield surveillance; today such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring and so on.
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Analysing the effect of interference in wireless 
		industrial automation system (WIAS)

Analysing the effect of interference in wireless industrial automation system (WIAS)

On the other hand, FHSS is robust and can resist interference from spurious RF signals much better than DSSS and noises, reflections, and other radio stations have little effect (Ondrej Kreibich, 2014). Various other methods could be used in industrial environment to attain interference free Industrial Automation Network. The multipath routing technique is a natural and robust way to increase reliability which comes at the cost of energy. If signals in one path are blocked by obstacles and cannot propagate, the data may still be transmitted through other paths. In mesh networks, multiple paths are used to deliver a single message to guarantee its reliability to 99.9.Different radios may be utilized for operation of various ranges with a view to switch to different frequencies in case certain frequencies fail to operate due to interference. In addition, a sensor’s radio transceiver can be capable of changing its transmission power to achieve different transmission ranges (R. Challoo, 2012). Time synchronization techniques are used to synchronize all the nodes by time stamping the data with a global clock. This technique is suitable for small networks. For special applications, the process data are also location- stamped. Redundancy could play a vital role in establishing highly reliable communications systems by making sure that there will always be stand-by sensors which can take over in case some of them fail. To increase reliability in data communications and provide a high degree of confidence in successfully transmitting packets, components in WSNs are made redundant, for example, dual gateways are highly recommended for increased reliability (Shyr-Kuen Chen, 2012). However, redundancy
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IOT Based Smart Wireless Sensor Network For Industrial Automation

IOT Based Smart Wireless Sensor Network For Industrial Automation

In this system could control industrial devices utilizing the wired controls as well as with the assistance of internet of Things which is the developing innovation in recent times we effectively controlled the industrial devices utilizing the IOT interface. This can be helpful to different industrial applications where machines should be controlled from distant places. This system responds to the controls sent as well as monitor gadget on local display for on and off and can perform similar tasks repeatedly reducing human efforts.

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Wireless Sensor Network and Industrial Internet of Things Based Industrial Machinery Control and Noise Detector

Wireless Sensor Network and Industrial Internet of Things Based Industrial Machinery Control and Noise Detector

Dr. Rajesh Singh is currently associated with Lovely Professional University as Professor with more than fifteen years of experience in academics. He has been awarded as gold medalist in M.Tech and honors in his B.E. His area of expertise includes embedded systems, robotics, wireless sensor networks and Internet of Things. He has organized and conducted a number of workshops, summer internships and expert lectures for students as well as faculty. He has twenty three patents in his account. He has published around hundred research papers in referred journals/conferences.
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ENERGY-EFFICIENT CLUSTERING PROTOCOLS FOR WIRELESS SENSOR NETWORKS:A SURVEY

ENERGY-EFFICIENT CLUSTERING PROTOCOLS FOR WIRELESS SENSOR NETWORKS:A SURVEY

Abstract : In Robotics and telecommunications world, wireless sensor networks are an active research area with numerous real life applications, R&D and industrial area. Wireless Sensor Networks consist of small nodes with sensing, computation, and wireless communications capability. Wireless sensor networks (WSNs) have been widely deployed for various applications, such as environment sensing, Military, Medical, Traffic Monitoring, Habitat Monitoring, building safety monitoring, earthquake prediction. In general WSN architecture, storage nodes aggregate data from nearby sensors and answer queries from the sink of the network which is also called as two-tiered WSN architecture. In past many routing, power management, and data scattering protocols have been specifically designed for WSNs, where energy awareness is an essential design concern. In many system data direction-finding in Network Aggregation for WSN’s is done by the routing tree finding the shortest path from the source node to sink node while maximizing data aggregation. If one of the nodes failed the repairing route is time consuming and energy consuming process.
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Wastewater Monitoring System in Industrial Workshop Based on Wireless Sensor Network

Wastewater Monitoring System in Industrial Workshop Based on Wireless Sensor Network

Star Network: The star network is composed of a network coordinator as a con- troller and a plurality of terminal nodes as slave devices. The center of the network reveals a diffusion type, with the network coordinator as the FFD. The terminal equipment is distributed around the network coordinator, and it can be FFD and can also be RFD. The network coordinator is responsible for the establishment and maintenance of the network. The terminal device communicates directly with the network coordinator, and the direct communication between each terminal device is not available, with all the information being forwarded through the network coordina- tor [5-6]. The structure of star network is simple, which is the most common network structure, has poor flexibility, usually using a small number of nodes covering a small area. The star network topology is shown in Figure 1.
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Secure Data in Wireless Sensor Network via AES (Advanced Encryption Standard)

Secure Data in Wireless Sensor Network via AES (Advanced Encryption Standard)

Wireless sensor networks are quickly gaining popularity due to the fact that they are potentially low cost solutions to a variety of real-world challenges. Their low cost provides a means to deploy large sensor arrays in a variety of conditions capable of performing both military and civilian tasks. But sensor networks also introduce severe resource constraints due to their lack of data storage and power. Both of these represent major obstacles to the implementation of traditional computer security techniques in a wireless sensor network. The unreliable communication channel and unattended operation make the security defenses even harder. Indeed, as pointed out in wireless sensors often have the processing characteristics of machines that are decades old (or longer), and the industrial trend is to reduce the cost of wireless sensors while maintaining similar computing power. With that in mind, many researchers have begun to address the challenges of maximizing the processing capabilities and energy reserves of wireless sensor nodes while also securing them against attackers. All aspects of the wireless sensor network are being examined including secure and efficient routing, data aggregation, group formation, and so on. In addition to those traditional security issues, we observe that many general-purpose sensor network techniques (particularly the early
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A comprehensive wireless sensor network reliability metric for critical Internet of Things applications

A comprehensive wireless sensor network reliability metric for critical Internet of Things applications

On the other hand, the studies in [14, 15] belong to the second track since they address the reliability of SN systems or WSNs as a whole of non-hierarchical deploy- ment configurations subject to random SN failures. In [14], the authors address the problem of evaluating the reliability of WSNs designed for industrial inventory management. They assume that for the purposes of this specific application, the data collected by each SN are stored redundantly on several other SNs to account for random SN failures. Accordingly, the WSN is deemed functional as long as there is a sufficient number of functional SNs that are both connected to each other and to the sink node. Based on this definition of network functionality and the assumption that the WSN deploy- ment is homogeneous, the reliability evaluation problem is reduced to the famous K-out-of-N reliability problem (http://www.reliabilityanalytics.com/blog/2011/09/02/ reliability-modeling-k-out-of-n-configutation/). The au- thors also present a Monte Carlo (MC) simulation ap- proach similar to that proposed in [10] to estimate the reliability of the WSN at hand. However, the reliability evaluation and estimation approaches proposed in [14] are based on a very restrictive definition of network functionality. Consequently, they cannot be applied to other WSN applications (e.g., surveillance and monitor- ing applications) where the functionality of the network is dependent not only on the number of SNs connected to the sink node but also on the network coverage. Also, the proposed approaches do not support network het- erogeneity which is a major limitation since real-world deployments are often heterogeneous.
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Wireless Sensor Network Technology and Networking Algorithms for Wireless Sensor Network Applications: A Survey

Wireless Sensor Network Technology and Networking Algorithms for Wireless Sensor Network Applications: A Survey

Wireless Sensor Network (WSN) is the realization of confluence of sophisticated electronics technologies with information technology [17]. It is the establishment of distributed devices linked with wireless means [18]. The WSN is an innovative field and depicts wide spectrum of applications in diverse sectors. Recently, the Site Specific Data Management (SSDM) is challenging task, wherein data depicts the spacio-temporal variations. For collection and processing of such data, the WSN is most suitable. Therefore, WSN plays commendable role in agricultural, military, defense, environmental protection, infrastructural monitoring, domestic appliances etc fields [19-25]. Now days, the Wireless Sensor Network also deployed to facilitate the industrial processes. The Wireless Sensor Network (WSN) may be described as the collection of nodes organized into co-operative network. Due its salient features, the WSN is becoming significant area of research of global relevance. Due to their several popular applications, efficient design and implementation, wireless sensor networks [26-27] have become an area of current research. Sensing, processing and communication are key elements, whose combination in one tiny device gives rise to a vast number of remote sensing applications [28-29]. The Sensor Nodes in a WSN operate with small and limited battery power and usually non-renewable resource. Since communication among nodes consumes most of the energy [30], it is important to design the network with less communication among the nodes to estimate the required parameter vector.
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Wireless Sensor Network to Monitor Environmental Parameters of Spinning Unit of Cotton Industry S. V. Chavan , B. P. Ladgaonkar and S. K. Tilekar

Wireless Sensor Network to Monitor Environmental Parameters of Spinning Unit of Cotton Industry S. V. Chavan , B. P. Ladgaonkar and S. K. Tilekar

It is found that, the industrial sector is demanding sophisticated electronics system, wherein the industrial parameters should be centrally monitored. The industrial parameters such as environmental humidity, temperature, leakages of hazardous gasses from process plants etc are widely distributed and depict spatio-temporal variations. In cotton yarn manufacturing industry, monitoring of the environmental parameters such as environmental temperature and relative humidity is essential to maintain the quality of the cotton yarn. The environmental temperature and relative humidity is maintained at the précised level in cotton industry. In fact, these parameters depict site specific variability (SSV). For monitoring the indoor environmental parameters of spinning unit of textile industry, deployment of the Wireless Sensor Network is most suitable solution. To monitor such parameters the wireless sensor network is implemented, wherein the wireless sensor nodes play a important role. With the greater reliability and flexibility the wireless sensors nodes are designed, wherein ARM microcontroller, ARM LM4F120H5QR, is used as a core for computational task and RF transceiver module Xbee series-2 chip, from DIGI International Inc, is used for Wireless communication. Deploying embedded technology the sensor nodes have been designed for monitoring of the two parameters such as, environmental temperature (0C) and relative humidity in spinning unit the textile industry. The smart sensors, SY-HS-220 for humidity measurement and LM35 for temperature measurement are deployed. Deploying such sensor nodes and the coordinator node, the wireless sensor network is established by employing Zigbee technology and implemented for monitoring of the dedicated parameters of the textiles industry. The results of implementation of WSN for monitoring of environmental parameters of spinning section of textile industry are interpreted in present paper.
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Determination of Optimal Power for ZigBee-based Wireless Sensor Networks

Determination of Optimal Power for ZigBee-based Wireless Sensor Networks

ZigBee is the IEEE 802.15.4 MAC and PHY layers designed for low bandwidth, low-power, low-cost, wireless mesh network standard [8]. The mesh networking capability provides high reliability and longer ranges applications while the low cost enables the technology to be used in monitoring and controls of wireless applications, and a low power consumption guarantee a longer life for the batteries [9]. ZigBee operates in the Industrial, Scientific and Medical (ISM) radio bands which include; 868MHZ in Europe, 915MHZ in both Australia and United States of America and 2.4GHZ frequency band worldwide. Data transmission ranges from 20kb/s to 250kb/s in the 868MHZ to 2.4GHZ frequency band [8, 9].
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Realization of Wireless Sensor Network Data in It Environment for Industrial Using Zigbee Technology

Realization of Wireless Sensor Network Data in It Environment for Industrial Using Zigbee Technology

ThingSpeak is an open source Internet of Things application and API is to store and retrieve data from things using HTTP (Hyper Text Transfer Protocol) over the internet or via a local area network. With ThingSpeak, you can create sensor logging applications, and social network of things with status updates.

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Design of a Central Wireless Security System Using Atmega328, ZigBee and Arduino

Design of a Central Wireless Security System Using Atmega328, ZigBee and Arduino

Security of life and properties is one of the basic provisions of a nations constitution which must be well protected at all times. For residential and industrial setups, there are so many security infractions that needed better solutions taken the advantages of the new developments in Communication technology. This work intends to provide a security system to monitor a residential or industrial setup, for infractions and give the necessary information to arrest its effect even without the physical presence of the property owner. The design consists of wireless sensor network for surveillance in a typical residential or industrial outfit using ZigBee wireless communication protocol, while the ATTiny102 microcontroller was used as the controller for the sensor and security module. The information from the ZigBee wireless device was transmitted through a radio frequency signal at 2460 MHz to the central processing unit with ATmega328p
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A Comprehensive Survey on Wireless Sensor Net...

A Comprehensive Survey on Wireless Sensor Net...

Their low cost provides a means to deploy large sensor arrays in a variety of conditions capable of performing both military and civilian tasks. But sensor networks also introduce severe resource constraints due to their lack of data storage and power. Both of these represent major obstacles to the implementation of traditional computer security techniques in a wireless sensor network. The unreliable communication channel and unattended operation make the security defenses even harder. Indeed, wireless sensors often have the processing characteristics of machines that are decades old (or longer), and the industrial trend is to reduce the cost of wireless sensors while maintaining similar computing power. With that in mind, many researchers have begun to address the challenges of maximizing the processing capabilities and energy reserves of wireless sensor nodes while also securing them against attackers. All aspects of the wireless sensor network are being examined including secure and efficient routing data aggregation, group formation and so on.
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WiFi Based GSM Based Efficient Data Collection from Sensor Network

WiFi Based GSM Based Efficient Data Collection from Sensor Network

which displays the present status of the temperature and humidity. But most of time such an alerting message could easily go unnoticed. So, it is better to log the data in a remote computer so that he can keep a track of the data. Another work in makes use of the alarming system for attending a patient, This temperature and humidity measurement sensor can fail if the user in charge is away for the situation where the emergency is taking place. A temperature and humidity sensors rise an alarm following it would be unnoticed. So, a robust device combining an alerting and data logging system is needed to avoid this kind of situation. The paper deals with sending the values of temperature to the environment where sensor is exposed to, by SMS for the user or the person in charge. Also, by creating microcontroller database, the design described in this paper can be used as a modification for alerting the user by giving an “ALERT SMS” when the temperature have a deviation from a critical value preset by the user. The system of server guard maintenance mechanism presented in the current paper is totally different as it doesn’t take into consider any software which has to be run in any of personal computer. The final product doesn’t take into consideration any high power consumption devices like laptop or personal computer. The response of our design when the temperature or humidity is out of range as defined by the user or the critical value preset by the user is better and more advanced as we have the provision for data logging as well as to alert the user in case of an alarming event.
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Wireless Sensor Network

Wireless Sensor Network

A specific node, called sink is in charge of collecting and a large number of battery powered sensor nodes that have the ability to sense the physical environment, compute the obtained information and communicate using the radio interface. Because the sensor node are generally deployed on a large and wild area, they are powered by battery and it is difficult to charge or recharge the battery, thus to reduce energy consumption and to extend the lifetime of WNS are very important points. In order to extend the lifetime, sensor node transmits packets with low transmission power (0 dBm).With this transmission power, a packet can only be transmitted dozen of meter away in one hope. Therefore a packet from a source node in WANs will be sent to a sink node in a multi hop, ad-hoc network.
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