Suman Sankar Bhunia

Performance study of mobile WiMAX network with changing scenarios under different modulation and coding

WiMAX—the Worldwide Interoperability for Microwave Access is a promising technology for offering high-speed data, video and multimedia services over mobile platform evolving toward all IP networks. The increasing demand of WiMAX for VoIP and high-speed multimedia is due to the simplicity of installation and cost reduction compared with the traditional wired DSL cable. The challenges to service providers lie with the Quality of Service (QoS) under varying fading environment while at the same time maximizing for resource utilization. In this paper, a rigorous and comprehensive performance study of mobile WiMAX has been made with respect to adaptive modulation and coding techniques considering the variation in the speed of the mobile, path-loss, scheduling services and application type for comparing with the fixed type of modulations. The OPNET 14.5.A modeler for WiMAX platform has been used as simulator for adaptation at the physical layer of the transmission in WiMAX OFDMA structure. Observation reveals that dynamic adaptation of modulation and coding schemes based on channel condition enables better QoS while consuming low overall bandwidth of the system. Copyright

iHealth: A fuzzy approach for provisioning intelligent health-care system in smart city

With the advent of Smart City, quality of life is bound to be better. But huge need arises to provide proper health-care services as the population is increasingly becoming urban-centric worldwide. The need-gap may be augmented with the help of modern technologies. Providing remote health-care services is a step forward. Successful diagnosis of health problems requires continuous monitoring of several health parameters. Health monitoring devices are power constrained and with limited communication capability. The devices are equipped with powerful microprocessors which are capable enough to take intelligent decisive actions by processing the received data. In order to prevent faster energy dissipation and constrained communication, selective data collection is an option. In this paper, a fuzzy assisted data gathering and alert scheme is proposed for healthcare services. Thus unnecessary waste of energy by transmission of unnecessary information is avoided. We have implemented it using Arduino and eHealth sensor kit.

An experience of implementing IPv6 based data retrieval system for Wireless Sensor Networks

Wireless Sensor Network (WSN) is one of the most demanding research topics prevalent in the modern research domain. WSN consists of densely deployed sensor nodes in the area which is to be sensed or monitored. Each sensor node is a tiny and power constrained device which is assigned the task of monitoring. Sensor networks have a very wide range of application and so they are much in demand. Every tiny sensor node needs to transmit the sensed data to more powerful sink nodes or base station. Thus as communication is an important aspect of WSN, so the underlying technologies being used should also be competent enough to enable better functionalities. This paper deals WSN technologies. A successful WSN has been designed with heterogeneous sensing devices using the most popular and efficient technology, namely the IP technology.

A comparative study on routing schemes of IP based wireless sensor network

As the world is moving towards the “Internet of Things” [1], Internet Protocol enabled wireless sensor network is becoming an important research area. In order to make it possible and to facilitate transmission of IPv6 packets over low powered networks, 6LoWPAN [9,11] has been introduced. 6LoWPAN incorporates an adaptation layer between network and data link layers. Two routing schemes are used in 6LoWPAN depending on which layer takes routing, forwarding decisions. If adaptation layer takes the decision, then it is called mesh under, whereas if the network layer is involved, then the scheme is route over. In this paper, we present a comparative study of these two schemes. Various performance metrics, such as average round-trip time delay, end to end delay and packet delivery ratio are compared and suitability of the two schemes are analyzed for a Sensor-Grid infrastructure. We also propose a technique which improves the route-over scheme. Our ultimate goal is to apply this Sensor-Grid infrastructure in health-care applications.

Study of enhanced VoIP performance under congested wireless network scenarios

Stringent QoS maintenance in a wireless environment for VoIP communication is a major challenge. VoIP inherently generates constant bit rate traffic and is highly sensitive to network delay. However, unpredictable network congestion makes a VoIP session so degraded that its QoS goes below a tolerable limit. Accordingly, a suitable solution is needed to adapt varying network conditions satisfying minimum QoS while maintaining transparency to the end user. We have extensively studied the effect of variable voice packet payload size with changing number of voice sample frames in the payload of the RTP packets. For this, we have used OPNET Modeler 14.5.A to observe the performance in terms of MOS, End-to-end delay through extensive simulations. Results are provided with valid discussions. Based on the observation, we propose an Adaptive VoIP (AdVoIP) algorithm that may be used in any real life VoIP network for further enhancement of the performance. The adaptive algorithm may use RTCP Receiver Reports to assess the network conditions in real wireless scenarios.

Interference Aware Scheduling of Sensors in IoT Enabled Health-Care Monitoring System

As the population is increasing worldwide, huge need arises to provide proper health-care services. With the advent of modern technologies the need-gap may be augmented. Sensor is one such technology which can be used to enable Internet of Things based health-care monitoring system. In this paper, implementation of such a system is described. In a real time health monitoring system, there are many sensors connected to a local data processing unit through a shared channel having a fixed bandwidth. These sensors have a wide variety of channel access requirements. The access to the channel should be discrete, so that each and every sensor avails the required bandwidth and delay in the shared channel. In this paper, a scheduling technique is proposed for the IoT based system, which nullify interference among different sensors and consequent distortation of precious health data. Implementation of this technique in our prototype health-care monitoring application is discussed in this paper.

Vehicular pollution monitoring using IoT

Degradation of air quality in cities is the result of a complex interaction between natural and anthropogenic environmental conditions. With the increase in urbanization and industrialization and due to poor control on emissions and little use of catalytic converters, a great amount of particulate and toxic gases are produced [1]. The objective of this paper is to monitor air pollution on roads and track vehicles which cause pollution over a specified limit. Increasing number of automobiles is a serious problem that has been around for a very long time. This paper proposes use of Internet of Things(IoT)[2] to address this problem. Here, combination of Wireless Sensor Network and Electrochemical Toxic Gas Sensors and the use of a Radio Frequency Identification (RFID) tagging system to monitor car pollution records anytime anywhere.

IEMS: indoor environment monitoring system using ZigBee wireless sensor network

As far the global warming or climatic change is concerned not only emissions but also wastage of energy in buildings are responsible. So proper indoor management is the need of the hour but manually it seems to be an impossible task to do. This paper presents a framework for Indoor Environment Monitoring System (IEMS) to serve this purpose. Wireless sensor network (WSN) is deployed in every nook and hook of the targeted building. Nodes sense environmental parameters and transfer data by Zigbee radio protocol wirelessly. Utilizing the sensor web enablement (SWE) this framework eases the surveillance effectively.

Fuzzy Assisted Event Driven Data Collection from Sensor Nodes in Sensor-Cloud Infrastructure

Wireless Sensor Network(WSN) consists of sensor nodes which are deployed densely in an area of interest. The area is intended to be sensed or monitored. Each sensor node is a tiny and power constrained device which is assigned the task of monitoring. One of the most important requirements for wireless sensor networks is systematic collection of data, where sensed data are collected at sensor nodes and forwarded to a base station through number of hops for further processing. This paper presents an event-driven data gathering scheme in a Sensor-Cloud infrastructure. The scheme uses Fuzzy logic to ensure efficient data collection and report a select set of data which is required. Aim of this work is to minimal use of communication resource and reduce overhead while collecting sensor data. Also, an attempt is made to implement the scheme on Tiny OS using TelosB motes for real-time testing.

Enabling Smartphone as Gateway to Wireless Sensor Network

The communication between Wireless Sensor Nodes and the Internet would require a gateway as these two network works on different standards. Mobile phone may be utilized to bridge this gap. It may act as a gateway for Wireless Sensor Nodes to connect with Internet and vice versa. Also this approach allows the smartphone to enrich the data collected from the Wireless Sensor Nodes before sending it to the Internet. In this paper, a low-cost solution is presented with open-source software and hardware that allows a wide range of smartphones to connect with sensors in a pervasive manner.