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Identification of human activities is a popular pattern recognition problem. In order to solve this problem, solutions based on machine learning are popularly used. Solutions based on the principle of collecting and processing classified data from one person are often used for non-real-time solutions. In this study, a system design is presented in which real time processing of the received acceleration...
Our daily life is characterized by countless human relationships. Every day we go to work, do shopping, partake in leisure time. At the base, there are some choices that lead us to make a series of activities; In which we interact and relate with many people. What influences the choices we make? Answering this question can be a very daunting task. However, it can help us to identify the main key elements...
Agriculture is one of the major backbones of India. Agriculture sector is one of the largest employment providers. Though there is a large area under cultivation, we don't get maximum yield. Reasons for this can be, insufficient rainfall, deficiency of parameters (needed by a plant to grow healthy), farmers may not know the timely requirements of the crop. If technology is embedded with agriculture...
Evolutionary computation is widely used to solve dynamic problems such as association rule mining(ARM) by adapting the solutions to changes of the data pattern. The summarization in the ARM for a wireless sensor network(WSN) is still an issue when its applied to big number of sensor input from multiple location. This paper proposes a parallel processing of ARM for efficient WSN processing using genetic...
Wireless sensor network supports reliable monitoring of the given network based upon the data transmitted from the sensors. However, the feasibility can be maintained only when the delivered data are fairly reliable without any damage. Since data error is not an uncommon event in wireless sensor networks, the validity of the decision making strongly depends upon the stableness of the data analysis...
Object tracking is an important application of Wireless Sensor Networks (WSNs). One of the main challenges for designing an object tracking technique is energy conservation. Prediction based strategies are used to save energy. We consider an application where a WSN is installed in a forest for tracking the movement of animals (objects). Since, animals move in certain paths rather moving entirely randomly,...
With the arrival of big data era, data mining techniques have been widely used to build models for cyber security applications such as spam filtering, malware or virus detection, and intrusion detection. This project proposes a novel approach that uses randomness to improve robustness of data mining models used in cyber security applications against attacks that try to evade detection by adapting...
Internet of things (IoT) is a smart technology that connects anything anywhere at any time. Such ubiquitous nature of IoT is responsible for draining out energy from its resources. Therefore, the energy efficiency of IoT resources has emerged as a major research issue. In this paper, an energy-efficien t architecture for IoT has been proposed, which consists of three layers, namely, sensing and control,...
The Semantic Web of Things (SWoT) merges the Internet of Things with knowledge representation and reasoning techniques borrowed from the Semantic Web, in order to improve resource management and discovery. This paper proposes a SWoT framework in Wireless Sensor Networks (WSNs) enabling cooperative discovery of sensors and actuators. A backward-compatible extension of the Constrained Application Protocol...
It is believed that technology will take over the day to day life of human begin. No one can remain isolated from the adaptation of technology. Hence it is the need of the hour to introduce a technology which will do the day to day life tasks in human life with smart and intelligent way. Hence, this paper critically discuss the emergence and progress of Internet of Every Things (IoET) as the next...
Conflagration is one of the major disasters that threatens human life and property. If the proper action is not taken in detecting the symptom of conflagration events ahead of time, the number of such disasters will keep increasing. An effective solution in this context will alleviate many fire-related global problems to a great extent. Although fire detectors are not available in many places, WiFi...
Technological advances have made Wireless Sensor Networks (WSN) more reliable, low cost, and widely used in a variety of applications. As WSN nodes are low power battery operated with limited lifespan, optimizing their resources (sensing, channel use, computing) is an essential task for the success of applications implemented over these networks. Even though this task could be challenging for large...
To solve the problem of high-energy-consumption of Wireless Sensor Network (WSN) nodes and short WSN lifetime, considering the practical underground environment of coal mine, this paper proposes a novel event-driven WSN in the coal mine system. The paper also discusses different working patterns of the proposed event-driven WSN, and switching methods between them. According to the safety regulation...
The fast development of wireless sensor networks has made a chance to accumulate and remove enormous measure of data from Wireless Sensor Networks. WSN is efficient instrument that empowers its clients to nearly screen, comprehend and control application handle. WSN consist of huge number of heterogeneous sensor hub spread over the extensive territory and help for wireless sensing and data processing...
Distributed Denial of Service (DDoS) attack is a congestion-based attack that makes both the network and host-based resources unavailable for legitimate users, sending flooding attack packets to the victim's resources. The non-existence of predefined rules to correctly identify the genuine network flow made the task of DDoS attack detection very difficult. In this paper, a combination of unsupervised...
The advent of ultra technological devices in our day to day lives has made us smart and efficient. Such a transformation is required for any developing city for efficient management of citywide activities and Become a smart city. By the use of wireless sensor nodes, various types of data can be collected like weather conditions, sound and air quality and data of high priority structures. Such data...
By recognizing patterns in occupants' daily activities, building systems are able to optimize and personalize services. Established technologies are available for data collection and pattern mining, but they all share the drawback that the methodology used for data collection tends to be ill suited for pattern recognition. For this research, we developed a bespoke WSN and combined it with a compact...
Monitoring and analysis of animal behavior are two of the prominent applications of Wireless Sensor Networks (WSN) in modern Dairy Farming. Behavioral information collected by sensor devices worn by the animals is expected to provide early detection of stress and onset of specific diseases. Animal mobility coupled with farm-based contextual information is expected to automate and increase efficiency...
Diffusion LMS is an efficient strategy for solving distributed optimization problems with cooperating agents. Nodes are interested in estimating the same parameter vector and exchange information with their neighbors to improve their local estimates. Successful implementation of such applications relies on a substantial amount of communication resources. In this paper, we introduce diffusion LMS strategies...
Despite the numerous advantages of using Wireless Sensor Networks (WSN) in precision farming, the lack of infrastructure in the remote farm locations as well as the constraints of WSN devices have limited its role, to date. In this paper, we present the design and implementation of our WSN based prototype system for intelligent data collection in the context of precision dairy farming. Due to the...
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