M. Udin Harun Al Rasyid

Wireless body area network for monitoring body temperature, heart beat and oxygen in blood

Wireless body area network (WBAN) is a term used to describe a network of sensor devices connected wirelessly for communication on, in and near the body to obtain physiological data from sensor devices. This paper explain the implementation of WBAN for monitoring body temperature, heart beat rate and oxygen saturation in blood. We develop the sensor reads physiological data to the desktop application, then will read the printout of the series and create a visual in the tables and graphs, as well as storing the data into a database and displayed via a website in the form of reports that can be accessed remotely. We analyze the data received from sensor nodes to server receiver with a variety of different distances 10, 20, 30, 40, and 50 meters. The experiment results show that the physiological data can be accessed through ZigBee wirelessly in short distance which suitable for WBAN.

An implementation of secure wireless sensor network for e-healthcare system

In wireless sensor networks (WSNs), information carried in data sensor is very important for everyone, especially for critical data such as disaster warning, location based in military, and other high-risk data. Wireless Body Area Network (WBAN) which informs data sensor of body status, such as blood pressure, electrocardiogram, air-flow of breathing, body temperature, patient position and falls, galvanic skin response, etc. as well as environment conditions such as humidity, gases, noise, etc. Such data sensor should be transferred through wireless to the data center server securely and can be easily accessed by everyone at anytime and anywhere. However, data exchange in WSNs has a big possibility to be illegally intercepted by many threats and attacks. Hence, security mechanism would be desirable to address the problem. In fact, sensor nodes usually have low power, low performance and limited resources. In this paper, we propose a security system in WSN for e-healthcare system that satisfies confidentiality, authenticity, and data integrity with consideration on low overhead of cryptographic computation. Our experimental results showed that total computation time for cryptographic is about 3.61 seconds on Waspmote ATmegal281 microcontroller 14MHz.

An implementation of secure data sensor transmission in Wireless Sensor Network for monitoring environmental health

Recently, conveying latest information related to the status of environmental health surrounding human dwelling through Wireless Sensor Networks (WSNs) is one of very important things to be known by everyone at anytime and anywhere as well as very critical information in disaster warning and any other high-risk information. However, since the adversaries are able to illegally intercept and manipulate data, a secure data sensor transmission would be strongly expected. In this paper, we propose an implementation of secure data sensor transmission in WSN, such as temperature, humidity, O2, CO, CO2, O3, and NH3 data transferring from WSN sensor nodes to data center server through a gateway node for monitoring environmental health with consideration on data confidentiality, data integrity and light-weight cryptography computation. Our experimental results showed that total computation time for secure data sensor processing is about 320 ms on Waspmote ATmega1281 microcontroller 14MHz.

Implementation of blood glucose levels monitoring system based on Wireless Body Area Network

Wireless Body Area Network (WBAN) implements real time health monitoring by outfitting patients with wireless vital sign sensors. One of the parts of WBAN is glucometer sensor which determining the approximate concentration of glucose in the blood. In this paper, we develop glucometer sensor monitoring system based on WBAN by using e-Health sensor (glucometer sensor), arduino uno board, and ZigBee module. The experiment results show that the desktop-based, web-based, mobile-based applications can be used well bu using doctor/nurse to monitor the patients glucose levels without having to see the patient directly.

Development of semantic sensor web for monitoring environment conditions

The semantic sensor web (SSW) is a combination of sensor networks, web services, database and semantic web technologies. The SSW describes sensor data with spatial, temporal, and thematic semantic metadata. One of the challenges for sensor web application is the integration and fusion of data coming from autonomously deployed sensor network. Gas Sensor technology is one of the wireless sensor network (WSN), which has a wide range of sensors that can be used to monitor the concentration of gas in a region. This paper implements SSW with existing gas sensor to perform readings from the environment, store it into a database and provide services application program interface (API) data. Sensor data used in this study are temperature, CO, CO2 and Humidity Sensor. The method we use is to build a Semantic Web to connect the sensor data that is spread by harnessing service API on the sensor semantic web servers interconnected. Furthermore, the data retrieved from the sensors will be represented in the form of ontology with RDF/OWL type and stored into RDF Repository (OPENRDF-SESAME) in order to be processed and published to the semantic web service. SPARQL library and curl serves to bridge the gap between service and Apache Tomcat. Existing data in the RDF Triple Store file will be displayed to the user to utilize the service using standard API RESTFUL. Then the existing data in the RDF database is displayed in a JSON data format.

An anonymous authentication system in wireless networks using verifier-local revocation group signature scheme

As advancement of the Internet of Thing and data centric technologies in collecting and distributing sensory data, security becomes much more important and desirable. This is because sensory data are commonly transmitted over wireless networks toward data center which are naturally easily observed for the goal of network traffic analysis. Furthermore, the collected data in data center can be easily accessed by users as well if the system does not deal with security mechanism. In this paper, we propose an anonymous authentication system using pairing-based verifier-local revocation group signature scheme to authenticate wireless nodes (i.e., sensor nodes) of a particular privilege group to the gateway node in transmitting data. In addition, an anonymous authentication for accessing data to the data center is also our achievement.

Monitoring system of patient position based on wireless body area sensor network

Wireless body area sensor network (WBASN) implements realtime health monitoring by outfitting patients with wireless vital sign sensors. This paper presents an aplication that can assist doctors/nurses to monitor any changes in the position of the patient; they do not need to see the patient directly. They can monitor the patient position at other room of the patient. This aplication can shows any changes in the patients position in realtime.

Portable electrocardiogram sensor monitoring system based on Body Area Network

Nowadays, the use of Electrocardiogram (ECG) as a detection tool of the condition of human heartbeat is still considered difficult. So, the idea of implementing this sensor is to enhance the quality of service and to minimize the cost of using and maintaining by determining the best way in implementing and monitoring ECG sensor. This research proposes a novel approach to observe the condition of human heartbeat using ECG sensor with e-Health sensor and Raspberry Pi, mini single-board computer with robust capability, which acts as central processing unit. Those hardware sets were assembled to collect ECG voltage signals in human body. The signals are transmitted into the device and the data are stored in MySQL database for long-term monitoring access. The experimental results show effectiveness of this approach as it is successfully fulfill the idea of Body Area Network (BAN).

Analysis of slotted and unslotted CSMA/CA Wireless Sensor Network for E-healthcare system

Wireless Sensor Network (WSN) have emerged as an important area for research and development because of their application such as in e-healthcare monitoring system. This paper presents and discusses the performance of slotted and unslotted Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) protocol WSN for medical system, with a few additions to the protocol and adequate tuning parameters. Performance of slotted and unslotted protocol CSMA/CA were evaluated and analyzed for different network configurations to understand the impact of protocol parameters such as Superframe Order (SO), Beacon Order (BO), Backoff Exponent (BE), and Maximum Backoff Exponent (maxBE). Network performances Quality of Service (QoS) are analyzed, namely Throughput, Power Consumption, Average Delay, and Packet Success Probability. The proposed work is implemented in Network Simulator 2 (NS2). The performance of the protocol CSMA/CA was evaluated for WSN star topology. The simulation results show that of unslotted CSMA/CA is better than slotted CSMA/CA in terms of the packet success probability, energy consumption, and delay. While slotted CSMA/CA is better than unslotted CSMA/CA in term of throughput.

Building platform application big sensor data for e-health wireless body area network

Wireless Body Area Network is a wireless network of wearable computing devices for monitoring the condition of a human body. The benefit is very big in healthcare with the ability to remotely monitor the patients, and the cost is not too expensive. Today, almost every medical organization utilize these technology to retrieve patient data. It is necessary to find solutions for processing such a big sensor data with the growth of data is growing every second. The concept of rapid growth of data with large volume data and variance data types are characteristic of Big Data. This study focuses on the manufacture of systems integration of sensor data into the database and visualization of data. By applying technology Hadoop Pseudo-distributed Mode as the system architecture to address the problems of big data growth on WBAN sensor data. Hadoop is famous reliable in large-scale data processing by using Hive as database managers better compared to traditional RDBMS. The purpose of this paper is to create a platform application for loading raw sensor data from e-Health to Hadoop system, then processing raw data so that can be further analyzed. The application visualize the data from Hive database into a web page and provide API service for client to access the sensor data. The results of comparative analysis between Hadoop Pseudo-distributed Mode system with traditional RDBMS in terms of importing data and query shows that Hadoop can perform these tasks with a much faster and the process is not too heavy for the case of large sensor data.