For the purposes of the implementation, a pharmacy made up of four racks is considered with each rack containing two types of medicine. Raspberry Pi 3 is being used with Raspian as the operating system a Debian- based Linux distribution. Python is the main programming language. Python underpins different programming styles, including object-oriented, basic, functional programming and procedural styles.The TTP224 is the 4 way switch digital touch sensor . There are four touch switches that represent four racks in the store. At the point when a rack is chosen its comparing LED swings on to advise the client of the correct rack determination. After selecting the appropriate rack, the user specifies the medicine name as well as the quantity. The medicine then can be handpicked with automatic detection. IR sensor is used for this purpose. The quantity of the medicine thus gets refreshed.
4.7. Adaptive Security Framework in Internet of Things (IoT) for Providing Mobile Cloud Computing : Internet of Things (IoT) has immense potential to change many of our daily activities, routines and behaviors. The pervasive nature of the information sources means that a great amount of data pertaining to possibly every aspect of human activity, both public and private, will be produced, transmitted, collected, stored and processed. Consequently, integrity and confidentiality of transmitted data as well as the authentication of (and trust in) the services that offer the data is crucial. Hence, security is a critical functionality for the IoT. Enormous growth of mobile devices capability, critical automation of industry fields and the widespread of wireless communication cast need for seamless provision of mobile web services in the Internet of Things (IoT) environment. These are enriched by mobile cloud computing. However, it poses a challenge for its reliability, data authentication, power consumption and security issues. There is also a need for auto self-operated sensors for geo-sensing, agriculture, automatic cars, factories, roads, medicals application and more. IoT is still highly not reliable in points of integration between how its devices are connected, that is, there is poor utilization of the existing IP security protocols. In this chapter, we propose a deep penetration method for the IoT connected set of devices, along with the mobile cloud. An architecture and testing framework for providing mobile cloud computing in the IoT that is based on the object security, power utilization, and latency measures and packet loss rate is explained.
Internet of Things (IOT) is used to communicate with the devices. By using this devices could be controlled or monitored through the internet, IOT acts as a platform to store data from the remote locations. IOT consists of web enabled devices that collects the data from the surrounding environments using processors, sensors and other communication devices. The device could be monitored and tracked using computers connected through internet. There are different types of car parking system available to reduce the time and the traffic congestion. The types used in day to day life are by using cameras, parking space is detected and the camera is fixed at the parking area pillars then another method is by using laser beams it detects the corner and target parking position. Then another method is by using Light Detection and Ranging sensors. Another method is based on the 3D reconstruction. With the latest proliferation of the vehicle availability finding the parking place availability is more difficult. Car parking is a main problem because of increasing in the vehicle number. Searching of a parking place around the cities is the routine work. In the smart parking system the parking space information is available at the real time. But the major drawback of those systems is they help us to find the available spaces for parking but not the exact location of those spaces. It can be overcome by using smart parking system. Available parking space will be given to the driver to park their vehicle and availability of the parking space will be renewed. An IR sensor, RFID and IoT technology used for implementing the smart car parking system. By having obstacle detection, the particular vehicle parks vacant can be known and then used to guide a driver to park vehicle in empty slot. All parking related information such as empty slots, vehicle parked count, etc details will be shown on web based GUI and vehicle details will be saved into database.
ABSTRACT: Today, as world is going towards automation and smart objects, IoT is most popular area for research right now. There are so many security issues related with IoT, for example, confidential data collection, insecure interfaces, unencrypted communications, etc. Traditional cryptography schemes are not good for the IoT as they put unnecessary overhead on low capacity IoT devices. Potential solutions to this problem are using lightweight cryptography or using existing cryptography blocks and modifying it to support IoT devices. In lightweight cryptography, we cannot lower the key size and cost of modern design and standard of modern design are issues. In existing cryptography block AES 256 can be used but it is still expensive for IoT device with low computing capability. The proposed solution is using blockchain to implement security mechanism for IoT devices. Each aggregator in network contains chain of transaction blocks replicated over peer to peer distributed network. Each block stores values from the sensors after applying hashing on it. The mechanism is custom blockchain, without features those are unnecessary for IoT.
Abstract— The agribusiness sector is the largest economic sector and the most important part of the Indonesian national economy, but the agribusiness sector begins to experience threats in fulfilling human food. Fulfillment of food faced some challenges including an increase in population, which means rising food, urbanization resulting in a decrease in the number of farmers and dietary changes, limited resources (land and air), changes to facilitate and waste food. This corresponds to the data issued by the United Nations, which is the fulfillment of food from approximately 9.6 billion people in the world in 2050 . Along with that, the agricultural land area also decreased due to the transfer of agricultural land function. Farmbot can increase agricultural production to solve human food because it can manage crops within 24 hours without stopping. Farmbot is liquid of agricultural robots that can plant seeds with regular, watering plants and monitoring plant growth. Farmbot can be controlled through an application interface that allows remote access from any location in easy Internet-connected devices. In this study, it will create an automation system that can plant seeds, watering agricultural crops by controlling air production, monitoring plant conditions, plant databases by using applications and designing algorithms to detect crops. Besides, other ways can measure the moisture of the soil to scheduling watering as a watering parameter. To implement this feature can work using a robotic hand with a CNC (Computer Numeric Control) gesture system that would be controlled by the Arduino and Raspberry PI. Following are the procedures for implementing agricultural automation with IoT applications (Internet of Things), seedlings with the help of seeders that stored in plant databases, watering and direct monitoring by users who use camera help.
electronics, telecommunications and social science. (Atzori, L., et al) Internet of things appliances and sensors become a real factor in customer engagement and data collection. As more objects will be connected, marketers could have a message to deliver to the customers and the customers would have a device on which to receive the messages from the marketers. In the coming years, we can see a significant transformation. Since more “things” become connected, there will be more interactions between marketers and the customers. The marketers will have the challenge to act and react based on the feedback and interactions from the customers. No matter the marketers will engage with the customers “in store” or “on screen”, they will be challenged to interact with the customers with the right messages and at the right time based on the technology from the Internet of Things. The effect of IoT can be spread not only at home, but also outside the home. (Rochlin.J) We have already seen a penetration into the home by Google with its Nest products, Apple with the capability of Siri on its newest Apple TV, Amazon with its echo device and the newest HiFi products.
As consumer demands and tastes change, the market share of these establishments is rapidly expanding. This trend is expected to continue, as the global QSR market is forecasted to grow at Compound Annual Growth Rates (CAGRs) of 5.54% and 5.22%, in terms of revenue and volume, respectively, for the period of 2015-2019 1 . While this growth is a huge opportunity, the industry has challenges. Arguably, the biggest one is managing operational costs. QSR chains face a constant struggle to control a wide range of cost centers— including those related to food and material purchases, food preparation, food waste, energy, and labor. Left unchecked, these can erode the operator’s already thin margins. Consider the restaurant manager, who is on the front line of the business and is responsible for the restaurant’s performance. One of the restaurant manager’s biggest—and most important— challenges is ensuring all the food the restaurant serves is safe. Yet the processes used to make certain the restaurant complies with all relevant food safety regulations are far from optimal. They’re manual and paper based and, subsequently, are inefficient and time consuming. Furthermore, the processes suffer from a distinct lack of transparency: The manager has little visibility into food safety beyond the checks and balances currently in place. This could make the restaurant vulnerable to failing a food safety audit or, worse, serving customers unsafe food. Another challenge involves restaurant operations supervision. Because operations aren’t automated, the manager typically doesn’t have oversight to ensure all employees execute their various tasks consistently.
Distributed Compressed sensing (DCS)  is another solution for data aggregation, where random measurements are transmitted from each sensor and the data are recovered at the joint decoder. As the measurements are sent directly from the sensor to the sink node, this architecture leads to significant and unbalanced battery consumption in large-scale setups. hop transmission with the main goal to balance the power consumption of the sensing devices. Using compressed sensing we can reduce the sampling and ts for sensing signals that have a compressible representation (i.e.) the number of measurements that need to be stored are vastly reduced. This makes signal processing and reconstruction much simpler and has a wide variety of application in the real world including Photography, Holography, digital image processing etc. Such that they have scale data aggregation mechanism that is based on an extension of the framework in ,  which addressed the problem of compressed sensing with side information. -hop data transmission scenario, which lies in contrast with the transmission mechanism. Data Gathering with Compressed Sensing
ThingSpeak is an open source platform to store and retrieve a data for Internet of Things application. To use this, you need to register in ThingSpeak cloud and then login to your account. After create a new channel with temperature in one field and humidity in another field.Once you created a new channel, it will generate a two API keys, they are READ API keys and WRITE API keys. First, copy the WRITE API keys from ThingsSpeak and paste it into the line (String apiKey = "***************;) of the program. Next, replace the Hostname and Password with your Wi-Fi name and Wi-Fi password in the two lines given below in the program. (String Hostname = "****** and String Password = "********"). The Arduino program Uses DHT
Abstract: Future smart environment will consist of smart devices (objects) that will form an autonomous and distributed ad-hoc network near the user end. This network needs efficient, cooperative and effective protocols for the changing network. So it requires a flexible and unified framework for wireless intelligent devices communication that will permit secure and adaptive routing to fulfill ad-hoc networking requirements. It is important to propose effective protocols and to identify good architecture for the future internet. Active routing protocols update the table of information on a regular basis and keep the mobility factor in control. The result of routing optimization with an efficient and effective scheme to mobility control and energy consumption in MANET-IoT system shows the main solution of Smart Network. Combination of IoT and MANET routing mechanism enhances the lifetime of nodes in the overall smart environment. This combination helps in the provision of services and accessibility for a longer period of time over the future smart environment. This paper presents various securities and safety-related issues of MANET-IoT system, and also advocate the requirement of enhancing routing protocols in a smart environment. In this paper, a new algorithm has been developed to reduce the delay factor of MANET protocol in a smart environment and performance is evaluated between the existing and proposed approach on the active protocol.
271 able to perform their duties according to their own environment judgment without any fixed line or equipment. It is not to connect to logistics center from customer like door-to-door, but to introduce drones for more accurate and quick movement of goods in smart logistics center. During picking operation, if a picking operation is required for defective or small quantities, the movement of a large machine is inevitably time consuming and economical. If you use the drone, it will be possible to pick out as fast as you need. In the future, these transportation robots will move with the control of the central computer through secure Wi-Fi connection, and should be able to operate efficiently in a narrow space in the warehouse. I think that robots that recognize the QR code of the warehouse floor by the camera and recognize the current position and the infrared-based obstacle detection function will contribute to the more efficient flow of the logistics. Transport robots implemented in Smart Logistics Centers should have the ability to be tired and moveable and to have sophisticated picking ability like human. These robots can be used not only for quick picking but also for stock check and replenishment at the same time, maximizing work efficiency.
With the changing scope of applications of internet shifting towards making physical world smarter there is no doubt that people will witness a shift in the number of connected devices soon. Within 5 years it is estimated that 50 billion devices will be online. What’s more interesting is of these devices the mostly will be conventional physical objects. PCs, laptops and smart devices which dominate the internet at present will be dwarfed by these physical objects. The prerequisites of Internet of Things are many. Still the main components can be categorized into three categories i.e. intelligence, sensing and communication.
The building blocks of technology require delivery of the most fundamental challenges. Many IOT power devices should ensure years of battery operation and harvested power devices.IOT applications need end to end solutions including cloud services. With so many interconnected devices out there in market and plenty of more to come in near future ,a security policy cannot be after thought. It’s important to ensure security,resillance.The possible tracking and surveillance of people by government and private agencies increases as the device are constantly connected to the internet.
More recently, IoT activities are gathering momentum around the world. Europe is becoming the contact point of IoT research with the enterprise of Internet of Things European Research Cluster (IERC), which is a cluster of European Commission 7th Framework Program (EU-FP7) funded IoT projects. Key projects have integrated CASAGRAS2, Internet of Things Architecture (IoT-A) and the IoT Initiative (IoT-I). A city-wide smart city testbed development is now complete in Spain (Santander) that is laying out a testbed for research and service provision. China has established an IoT Center in Shanghai to study technologies and industry standards. A group of 60 telecom operators have initiated ―Sensing China‖ project. Analogous activities are in progress in Japan, Korea, the USA, Australia and India, where various stakeholders are collaborating to advance the capabilities towards an IoT.
IoT “Data” is the information generated by people, sen- sors and things. The data, when combined with analytics, delivers actionable information to people and machines. Better decisions are made and better results are achieved. By using data, it is possible to analyze situation from dif- ferent perspectives and enhance process of any including transportation, healthcare, education, and others. Last years, amount of data that been generated surprise hu- manity. Data is growing faster than at any time before, by 2020 about 1,7 megabytes of fresh information will be generated by every person on the planet and amount of data will grow from 4,4 zettabytes (today) to about 44 zettabytes which makes around 44 trillion gigabytes (Marr, 2015).
Electronic equipment’s used throughout the IoT may eventually end up as e-waste. A TreeHugger article by Elizabeth Chamberlain and Kyle Wiens of iFixi, published on 9 January 2014, comments on a recent study by Huabo Dunn and colleagues at the Massachusetts Institute of Technology on “Quantitative characterization of domestic and transboundary flows of used electronics — Analysis of generation, collection, and export in the United States”, released on 15 December 2013. That article mentioning the rise of computerized basic IoT elements as an emerging culprit in losing the war against e-waste, “and as more and more objects — toys, household appliances like fridges, and accessories, It’s easy to make the connection between a giant CRT monitor and e-waste; it’s less easy to make that connection with singing birthday cards. Nobody thinks twice about trashing them but they are e-wastes.”
JULY-AUG, 2015, VOL-3/19 www.srjis.com Page 704 "Netflix more or less destroyed Blockbuster by using the Internet to vastly improve the logistics of exchanging DVDs and removing pesky late fees. Then they converted the atoms of a DVD into bits and deliver 80 percent of their movies over broadband now. [You get] more movies on-demand and lower costs. And an entire industry — the DVD rental business — is consigned to the archive of history."
The hardware design of the node is mainly around the control circuit, expansion circuit and peripheral circuit of the single chip microcomputer, and the other part is the circuit design of the NB-IoT communication part. According to the basic requirements of the monitoring node, the control board mainly includes a control module, a power circuit module, a lithium battery charging and discharging module, an external power supply step-down and power selection circuit module, and an RS232/485 interface. The communication board is designed in the overall circuit of the communication module, which mainly includes the BC95 connected to the SIM module, the step-down circuit and some peripheral circuits.
The expansion of embedded IC infrastructure has caused the deployment of wide range of embedded systems in our environment which points out the need for manageable and flexible sensing entity. IoT is a solution which proves to be a promising concept. We proposed the IoT concept for monitoring cold chain logistics that offers an easy way to manage and real time monitoring using sensor and cloud. With the integration of sensor infrastructure to cloud, there are numerous benefits where common processing, computational and analytical tasks can be hosted on the cloud service rather than the sensor architecture hence reducing power consumption and increasing the network lifetime. The data visibility also increases which enhances the monitoring and management.
Abstract:- In this paper, we propose soldiers health tracking system using Internet of Thing (IoT). In the last decades, technologies such walkie-talkie, zig Bee and GSM based tracking system were most dominantly used methodologies for the tracking of soldiers life on the battlefield. The proposed system consists of Hardware section and Software section in which Hardware section is divided into sensors and interfacing display, power supply and microcontroller whereas software section consist of Internet, web server, Hardware programming, and server side scripting and Database for storage information of soldiers health.