Partha Pratim Ray

Towards an Internet of Things based architectural framework for defence

Network centric warfare has been serving the defence mechanism since last few decades. Contemporary network oriented solutions exhibit vertical silos which lack in inefficient connected approach. Internet of Things holds the key potential to interconnect the battlefield with the digital world in ways that promise to fundamentally change military operations. This study proposes a novel architectural framework-IoTNetWar, juxtaposing Internet of Things and Network Centric Warfare together. IoTNetWar presents the integrity between weapons, military personnel, and overall warfare on the conjugation of sensors, gateways, internet, and cloud based services. Few research challenges have also been identified so that researcher may get involved to solve the related issues.

Generic Internet of Things architecture for smart sports

Sports and recreational activities constitute to be one of the most rapidly growing areas of personal and consumer oriented Internet of Things applications. Although few manufacturers have started developing smart sports products, they seem to lack in standardized architectural framework. No standard architecture has yet been devised by any researchers. This literature investigates how sports and recreational activities can be augmented through novel service based on Internet of Things based standard architecture-Internet of Things Sport. Test results validates that the data convergence time is directly proportional to the number of players. Several research challenges towards sports centric Internet of Things have been presented which need to be tackled in future.

Internet of Things for Disaster Management: State-of-the-Art and Prospects

Disastrous events are cordially involved with the momentum of nature. As such mishaps have been showing off own mastery, situations have gone beyond the control of human resistive mechanisms far ago. Fortunately, several technologies are in service to gain affirmative knowledge and analysis of a disaster’s occurrence. Recently, Internet of Things (IoT) paradigm has opened a promising door toward catering of multitude problems related to agriculture, industry, security, and medicine due to its attractive features, such as heterogeneity, interoperability, light-weight, and flexibility. This paper surveys existing approaches to encounter the relevant issues with disasters, such as early warning, notification, data analytics, knowledge aggregation, remote monitoring, real-time analytics, and victim localization. Simultaneous interventions with IoT are also given utmost importance while presenting these facts. A comprehensive discussion on the state-of-the-art scenarios to handle disastrous events is presented. Furthermore, IoT-supported protocols and market-ready deployable products are summarized to address these issues. Finally, this survey highlights open challenges and research trends in IoT-enabled disaster management systems.

Internet of Robotic Things: Concept, Technologies, and Challenges

Internet of Things allow massive number of uniquely addressable “things” to communicate with each other and transfer data over existing internet or compatible network protocols. This paper proposes a new concept which tackles the issues for supporting control and monitoring activities at deployment sites and industrial automations, where intelligent things can monitor peripheral events, induce sensor data acquired from a variety of sources, use ad hoc, local, and distributed “machine intelligence” to determine appropriate course of actions, and then act to control or disseminate static or dynamic position aware robotic things in the physical world through a seamless manner by providing a means for utilizing them as Internet of robotic things (IoRT). Although progressive advancements can be seen in multi-robotic systems, robots are constantly getting enriched by easier developmental functionalities, such vertical robotic service centric silos are not enough for continuously and seamlessly supporting for which they are meant. In this paper, a novel concept—IoRT is presented that highlights architectural principles, vital characteristics, as well as research challenges. The aim of this paper is to provide a better understanding of the architectural assimilation of IoRT and identify important research directions on this term.

Creating Values out of Internet of Things

Internet of Things based cloud is envisaged to extract values other than the specified purpose for which it is to be utilized. It is hereby apprehended that different genre of values, rather business values, could efficiently be assimilated from the Internet of Things cloud platforms. It is also investigated to identify numerous domains of applications that are currently being associated with the similar cloud platforms. A case study on various types of value generation methods has been performed. A novel Internet of Things cloud stack is proposed to disseminate and aggregate the business values. Few research challenges are observed that shall need appropriate indulgence to generate more business values out of Internet of Things based cloud. This paper also seeks few research and industry related problems that need to be resolved. It further recommends several key parameters to the enterprise and government policymakers that should immediately be dealt with for long-term success.

Internet of Things cloud based smart monitoring of air borne PM2.5 density level

Prior information of level of particulate matter in surrounding air can save human lives from probable deteriorated health condition. Contemporary solutions are inadequate to monitor the air borne particulate matter level remotely. This paper presents a novel technique to monitor 2.5μm sized particulate matter level in smarter way. Internet of Things based cloud services have been incorporated to store and analyze the measured data in cloud servers. An optical sensor is integrated with the system which enables the user to visualize the density level of particulate matters in real time. Serial output empowers the user to monitor the process of capture of data, network connectivity, and data transmission towards the clouds. Average value of PM2.5 density from the experiment was found as 200 mg/m3.

Bluetooth 5 and Internet of Things: Potential and architecture

This article paves the knowledge about the next generation Bluetooth Standard-BT 5 that will bring some mesmerizing upgrades including increased range, speed, and broadcast messaging capacity. Further, three relevant queries such as what is better about BT 5, why does that matter, and how will it affect IoT have been explained to gather related information so that developers, practitioners, and naive people could formulate BT 5 into IoT based applications while assimilating the need of short range communication in true sense.

Nano computer design based on intra body nanoscale neuro-spike communication: A nanonetwork paradigm

To realize nano scale network functionalities, the underlying architecture of nano machines should be developed. Human body is the nature created best realistic model of nanonetworking. Intra neuron communication is the well designed nanonetworking structure which leads to develop similar nano computer model that explores the diagnosis and remedial mechanisms for various critical diseases. In this paper, first, Moore machine model is adapted by comprehending biological interactions between nano scale neuro-spike communications. Next, a novel nano computer model is devised based on Moore machine. This research to paves a holistic path to overcome the limitation of ICT oriented medical diagnostic approach and builds the foundation for pragmatic implementation by certain advancement in nanoelectronics.

A Systematic Review of Wearable Systems for Cancer Detection: Current State and Challenges

Rapid growth of sensor and computing platforms have introduced the wearable systems. In recent years, wearable systems have led to new applications across all medical fields. The aim of this review is to present current state-of-the-art approach in the field of wearable system based cancer detection and identify key challenges that resist it from clinical adoption. A total of 472 records were screened and 11 were finally included in this study. Two types of records were studied in this context that includes 45% research articles and 55% manufactured products. The review was performed per PRISMA guidelines where considerations was given to records that were published or reported between 2009 and 2017. The identified records included 4 cancer detecting wearable systems such as breast cancer (36.3%), skin cancer (36.3%), prostate cancer (18.1%), and multi-type cancer (9%). Most works involved sensor based smart systems comprising of microcontroller, Bluetooth module, and smart phone. Few demonstrated Ultra-Wide Band (i.e. UWB) antenna based wearable systems. Skin cancer detecting wearable systems were most comprehensible ones. The current works are gradually progressing with seamless integration of sensory units along with smart networking. However, they lack in cloud computing and long-range communication paradigms. Artificial intelligence and machine learning are key ports that need to be attached with current wearable systems. Further, clinical inertia, lack of awareness, and high cost are altogether pulling back the actual growth of such system. It is well comprehended that upon sincere orientation of all identified challenges, wearable systems would emerge as vital alternative to futuristic cancer detection.

Internet of Things based smart measurement and monitoring of wood Equilibrium Moisture Content

Information of moisture content in wood is an important factor for development of wooden products in industries. Contemporary solutions are inadequate to monitor the wood moisture content remotely. This paper presents an Internet of Things based novel approach to measure and monitor moisture content of wood (IoTEMC). Plotly and Xively enabled cloud services are incorporated so as to register the raw values of IoTEMC into the remote IoT cloud servers for permanent storage. Real-time visualization is performed on the captured values to aware the user about the condition of the wood. Real-time statistical analytics is performed on the wood. Mean value, SD and SE of the wood moisture content is 14.7471, 0.029, and 0.00289, respectively. Serial output helps the user to monitor the process of capture of data, network connectivity, and data transmission towards the clouds.