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1. PACKETSTREAM ANDROID UPDATE
2. PACKETSTREAM ANDROID ANDROID
3. PACKETSTREAM ANDROID SOFTWARE
4. PACKETSTREAM ANDROID BLUETOOTH

The rest of this paper is organized as follows. In the case of an application, it is not changed when a new sensor device is connected because the client decodes the data packet and sends a reformatted standard packet to the application. The client plays the role of extracting desirable value from the data packet and reformatting the standard message based on ISO/IEEE 11073 PHD by using the result.

The client running on a smartphone receives the result from the server. This profile reflects two features of a data packet: unique start and end pattern and the range value between the minimum and maximum value measured by a sensor. The server also manages and stores the profile of each sensor that is used to identify an unknown data packet to its database. The server plays the role of identifying sensor devices by using a pattern matching process based on the Boyer-Moore-Horspool (BMH) algorithm to recognize the received data packet in the proposed system. In this paper, we propose a client-server-based sensor adaptation layer to support interoperability of nonstandardized sensor devices. This, in turn, leads to interoperability issues when the number of sensors increases. Yet, many manufacturers usually provide many different message formats for each device to support certain applications. These standards define a common framework for data interoperability in order to establish connections between personal health sensors or devices to meet the IoT quality aspects. There are messaging standards for personal health devices, such as the ISO/IEEE 11073 Personal Health Device (PHD) and Health Level Seven. However, the packet format of each sensor device is different even among personal health devices. Interworking a smartphone among sensors has various merits.

PACKETSTREAM ANDROID SOFTWARE

During the data collection process and software management, many security and privacy-related issues are also considered.

PACKETSTREAM ANDROID UPDATE

In addition, smartphones and IoT devices are always connected to the Internet and their software must be changed to update system files or fix bugs. Smartphones cooperate with various types of sensors in this large-scale system and it is impractical to recognize and interpret meaningful information from each sensor’s data packet.

In broader aspects, smartphones can be used as gateways in Smart Cities, which are a key application domain for the Internet of Things (IoT).

Smartphones can easily collect data from the external sensors deployed around a user and physical space because it has an interface and communication capabilities.

PACKETSTREAM ANDROID BLUETOOTH

For example, an application using Bluetooth Low Energy (BLE) beacons can support several services including localization detection, interaction, and activity sensing. With the rapid development of sensor devices, wired or wireless external sensors can be connected to a smartphone in the Internet of Things (IoT) environments. Nowadays, smartphones are not only a communication device but also a monitoring device for various purposes. Modern smartphones are equipped with various sensors such as an accelerometer, gyroscope, and Global Positioning System (GPS) that can track and monitor dynamic environmental information including user’s behavior, health, traffic, noise pollution, and social interactions. The evaluation results show that the start and end pattern of the data packet are more efficient when the length of the data packet is longer. To verify the operability, we have implemented a prototype of this proposed system. Our matching model considers features of the sensor data packet. Here, the server compares profiles that have clues to identify the sensor device with a data packet stream based on a modified Boyer-Moore-Horspool algorithm. Interoperability is an important quality aspect for the IoT that may have a strong impact on the system especially when the sensors are coming from different sources.

PACKETSTREAM ANDROID ANDROID

In this paper, we propose a client-server-based sensor adaptation layer for an Android platform to improve interoperability among nonstandard sensors. Due to many attributes that may vary the quality of the IoT system, sensor manufacturers provide their own data format and application even if there is a well-defined standard, such as ISO/IEEE 11073 for personal health devices. This interaction accelerates the development of applications in the Internet of Things environment. As sensor-related technologies have been developed, smartphones obtain more information from internal and external sensors.