Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
Browse
32 results
Search Results
Item Ubiquitous greenhouse monitoring system(Institute of Electrical and Electronics Engineers Inc., 2016) Rao, K.; Srijana, K.; Prasad, D.; Chandrasekaran, K.A greenhouse is a structure generally made of glass, designed to provide protection and controlled environment to raise plants indoors. In order to achieve high quality and quantity of produce, proper management and data collection of the greenhouse environment is required. Manual practice of plant monitoring is laborious and time consuming. The proposed greenhouse system is an application which demonstrates the concept of Internet of Things and involves ubiquitous monitoring and controlling of environmental parameters within the greenhouse, which directly or indirectly control the plant growth and so their production. The system thus designed, mainly aims to remotely monitor and control the greenhouse using temperature sensor, light sensor, soil moisture, water level sensor and actuators through a customized webpage. Moreover, real-time representation of the sensed data is graphically plotted as well as stored for improved monitoring and further analysis, illustrating the concept of cloud instrumentation. © 2015 IEEE.Item MRPL++: Smarter-HOP for optimizing mobility in RPL(Institute of Electrical and Electronics Engineers Inc., 2016) Anand, M.C.R.; Tahiliani, M.P.Routing Protocol for Low power and lossy networks (RPL) is a proactive algorithm for Low-power and Lossy Networks (LLNs). Recent growth in Internet of Things (IoT) applications has made proactive handling of mobility apparent. While RPL does not tackle mobility, mRPL addresses it by adopting a proactive Hand-Off strategy. Since this strategy follows a greedy approach to select the next hop, a best route may not be always chosen. This paper proposes mRPL++, an extension of mRPL, to ensure best route selection in mobile scenarios. We have implemented mRPL++ in the Contiki 6LoWPAN/RPL stack and validated it through extensive simulations. © 2016 IEEE.Item TmRPL++: Trust based smarter-HOP for optimized mobility in RPL(Institute of Electrical and Electronics Engineers Inc., 2017) Anand, M.C.R.; Tahiliani, M.P.Ensuring security in routing protocols designed for Internet of Things (IoT) is more challenging owing to the fact that devices are resource constrained. The need for lightweight security mechanisms is apparent because cryptography based mechanisms have intense computation requirements. Although Routing Protocol for Low power and lossy networks (RPL) inherently comprises a few security mechanisms, it has been shown that those mechanisms are fragile, and additional measures are required to strengthen its security. In this paper, we propose a lightweight trust based security algorithm for RPL, called TmRPL++, to prevent the consequences of routing attacks. TmRPL++ has been implemented and integrated in the Contiki 6LoWPAN/RPL stack, and its functionality has been verified through extensive simulations. © 2016 IEEE.Item Assessment of objective functions under mobility in RPL(Springer Verlag, 2018) Sanshi, S.; Jaidhar, J.Due to the technological advancement in Low-power and Lossy Network (LLN), the sensor node mobility has become a basic requirement. Routing protocol designed for LLN must ensure certain requirements in a mobile environment such as reliability, flexibility, scalability to name a few. To meet the needs of LLN, Internet Engineering Task Force (IETF) released the standard IPv6 Routing Protocol for LLNs (RPL). RPL depends on Objective Function (OF) to select optimized routes from source to destination. However, the standard did not specify which OF to use. In this study, performance analysis of different OFs such as Objective Function zero (OF0), Energy-based Objective Function (OFE), Delay-Efficient Objective Function (OFDE), and Minimum Rank with Hysteresis Objective Function (MRHOF) is carried out under different mobility models, which makes this study unique. The metrics used to measure the performance are latency, packet delivery ratio (PDR), and power consumption. Simulation results demonstrate that under different mobility models, MRHOF achieved better results in terms of PDR and power consumption, while OFDE shows better results in terms of latency compared to other OFs. © Springer Nature Singapore Pte Ltd. 2018.Item Heuristic-based iot application modules placement in the fog-cloud computing environment(Institute of Electrical and Electronics Engineers Inc., 2018) Natesha, B.V.; Guddeti, R.M.Nowadays many Smart City applications make use of Internet of Things (IoT) devices for monitoring the environment. The increase in use of IoT for smart city applications causes exponential increase in the volume of data. Using centralised cloud for time sensitive IoT applications is not feasible due to more delay because of the network congestion. Hence, fog computing is used for processing the data near to the edge of the network, where processing is done by distributed network nodes. But, there is a challenge to select the fog nodes which can host and process the application modules. The placement of application module on these fog devices is known as NP-hard problem. Hence, we need better placement strategies to decide placement of application modules in fog infrastructure to minimize the application latency. In this paper, we design a First-Fit Decreasing (FFD) heuristic based approach for placing IoT application modules on Fog-Cloud and carried out the experiment using iFogsim simulator. The simulation results demonstrate that the proposed method shows significant decrease in both the application latency and energy consumption of Fog-Cloud as compared to the benchmark method. © 2018 IEEE.Item Real time big data analytics in smart city applications(Institute of Electrical and Electronics Engineers Inc., 2018) Manjunatha, S.; Annappa, B.Technological revolution in the recent past has enabled the concept of Smart City for urban development. Smart City concept is conceived with the objectives of providing better services to the citizens and improves the quality of life. Information and Communication Technology (ICT) and Internet of Things (IoT) made smart city applications as much simpler and effective. Big data technologies play a major role in smart city applications. This paper gives an overview of the role of big data in building smart city applications and proposes a framework for real time big data analytics. Real-time big data analytics help in making better decisions and more accurate predictions at right time to offer better services to the citizens. Here, we discussed some of important solutions and services for the smart city where the real-time big data analytics helps in improving the quality of services in smart city applications. © 2018 IEEE.Item Compressed Sensing for Energy and Bandwidth Starved IoT Applications(Institute of Electrical and Electronics Engineers Inc., 2018) Ramachandra, G.; Bhat, M.S.Ensuring security through the use of video surveillance cameras at public places is becoming attractive these days, thanks to the efficient compression, transmission and storage schemes. To up-scale the surveillance mechanism to large sensor networks, it is imperative that the applications become compatible to wireless sensor networks using Internet of Things (IoT) infrastructure. IoT nodes are generally energy and bandwidth-limited owing to their small size and large scale deployment. Therefore, any image/video acquisition application using IoT infrastructure should function within these constraints. Compressed sensing (CS) is one such paradigm that uses simultaneous sensing and compression and provides a technique for efficient image/video acquisition. This paper investigates the use of compressed sensing for image acquisition in IoT based applications that suffer from energy, bandwidth and storage limitations. © 2018 IEEE.Item A Survey on Wired, Wireless, and Internet of Things Routing Protocols(Institute of Electrical and Electronics Engineers Inc., 2019) Kamble, S.; Chandavarkar, B.R.Delivery of data through the shortest path in a computer network is always a key area of research for academic as well as in industry. The routing protocols are extensively used in networking today to identify the shortest path. As technology is evolving in the wireless networks, Internet of Things (IoT), etc., routing protocols also need to be modified. The paper provides an overview of how routing protocols have changed from wired to wireless networks and for IoTs, different categories of the routing for wired and wireless networks. Though wired network provides fast and reliable communication as compared to wireless, due to the need of the internet everywhere, the wireless is preferred over wired. All three categories use the different IEEE standard for data transfer. The analysis of various routing protocols given in this paper may help the upcoming researchers to get a quick review of the existing protocol for wired, wireless and IoT networks. © 2019 IEEE.Item Smart Cane for Assisting Visually Impaired People(Institute of Electrical and Electronics Engineers Inc., 2019) Nandini, A.V.; Dwivedi, A.; Kumar, N.A.; Ashwin, T.S.; Vishnuvardhan, V.; Guddeti, R.M.R.Blindness disables a person from self-navigating outside well-known environments. It affects their ability to perform several jobs, duties, and activities. They are dependent on external assistance which can be provided by humans, dogs or special electronic devices for better decision making. This motivated us to create a prototype called 'Smart cane for assisting visually impaired people' to overcome the problems they face in their daily life. Our device is a low cost and lightweight system that processes signals and alerts the visually impaired over any obstacle, potholes or water puddles through different beeping patterns. It senses the light intensity of the environment and illuminates the LED accordingly. These are accomplished by incorporating two ultrasonic sensors, a moisture sensor and a LDR sensor along with an Arduino Nano micro-controller. These are placed at specific positions of the cane for efficient guidance. Moreover, a GSM module is also added to the system so that the visually impaired person can send a message to the emergency contact number in case of distress. The developed model showed 89 percent accuracy and 80 percent of the users were satisfied with the developed prototype. © 2019 IEEE.Item Mesh WSN data aggregation and face identification in fog computing framework(IEEE Computer Society help@computer.org, 2019) Sahith, S.R.; Rudraraju, S.R.; Negi, A.; Suryadevara, N.K.This work aims to aggregate data from various sensors in a mesh topology based Wireless Sensor Network (WSN). It analyzes this data using fog computing framework to trigger alerts. The WSN consists of nodes with several sensors like temperature sensor, potentiometer and light emitting diode connected with radio communication module XBee. The sensor nodes are connected in mesh topology for better reliability and using ZigBee protocol mechanism. The Fog gateway node collects the sensor data from several sensor nodes. The WSN also includes Pi Camera and passive infrared sensor augmented with Philips Hue Lights. Hue Light gives a visual indication of motion detection, using ON/OFF states. Pi camera captures image whenever any motion is detected. The captured images are used for face recognition by applying Eigenfaces method. The AI algorithm is applied on the aggregated temperature sensor data, at the Fog node level, to determine the adaptive threshold. If the temperature data from any sensor node is above the threshold value an alert message is triggered. The proposed system is run continuously for data collection and the functionality of the system is tested with various inputs and the results are encouraging. © 2019 IEEE.