Advances in future computing to support emerging sensor applications are becoming more important as the need to better utilize computation and communication resources and make them energy efficient. As a result, it is predicted that intelligent devices and networks, including mobile wireless sensor networks (MWSN), will become the new interfaces to support future applications. In this paper, we propose a novel approach to minimize energy consumption of processing an application in MWSN while satisfying a certain completion time requirement. Specifically, by introducing the concept of cooperation, the logics and related computation tasks can be optimally partitioned, offloaded and executed with the help of peer sensor nodes, thus the proposed solution can be treated as a joint optimization of computing and networking resources. Moreover, for a network with multiple mobile wireless sensor nodes, we propose energy efficient cooperation node selection strategies to offer a tradeoff between fairness and energy consumption. Our performance analysis is supplemented by simulation results to show the significant energy saving of the proposed solution.

/pdf/energy-efficient-cooperative-computing-in-mobile-wireless-3zcputkc16.pdf

Energy Efficient Cooperative Computing in Mobile Wireless Sensor Networks

Climate change because of the greenhouse effect has been authenticated. Fallouts like the 2015 Chennai floods suggest techniques like precision agriculture that includes automation in the irrigation system are important. This paper suggests an economical and easy-to-use arduino-based automated irrigation system that utilizes the Android smart phone for remote control. The system design includes a soil moisture sensor that provides a voltage signal proportional to the moisture content in the soil which is compared with a predetermined threshold value obtained by sampling of various soils and specific crops. The outcome of the comparison is that appropriate data are fed to the arduino uno processor. The arduino is linked wirelessly via the HC-05 module to an Android smart phone. The data received by the Android smart phone from the arduino is displayed on the User Interface (UI) (S2 terminal application). The UI in the Android smart phone allows the user easy remote control of the irrigation drive system that involves switching, on and off, of the drive motor by the arduino, wired to its controller, based on commands from the android smart phone. Studies conducted on a laboratory prototype suggest that the design is viable and can be easily adopted for real time application.

Experimental investigation of remote control via Android smart phone of arduino-based automated irrigation system using moisture sensor

The least secure places in the universe? A systematic literature review on information security management in higher education

A great number of people have Smart Objects in their daily life: Smartphones, cars, tablets, computers, Smart TVs or micro-controllers. Furthermore, these objects have Internet connection. A great number of these objects have various sensors: accelerometers, GPS, pressure, light, temperature, gravity or proximity. The essence of the concept of Internet of Things is to interconnect all these heterogeneous and ubiquitous objects among them. Some Smart Cities or Smart Homes allow a part of this concept. But this has a problem, the software that an object needs to be interconnected with the IoT platform. To create this software users need to develop the application and need developer skills. In this paper we propose a solution to this problem. We propose a graphical Domain-Specific Language for creating the necessary software for interconnecting any object with an IoT platform. For this proposal we will use the IoT Midgar platform.

Midgar: Domain-Specific Language to Generate Smart Objects for an Internet of Things Platform

A Machine-to-Machine (M2M) system, which uses Arduino, Android, and Wiki software, is discussed. ["proposed"?] This system consists of mobile terminals and web sites with wiki software. A mobile terminal of the system consists of an Android terminal and an Arduino board with sensors and actuators. The mobile terminal reads data from the sensors in the Arduino board and sends the data to a wiki page. The mobile terminal also reads commands on the wiki page and controls the actuators of the Arduino board. In addition, a wiki page can have a program that reads the page and outputs information such as a graph. This system realizes an open communication forum for not only people but also for machines.

A M2M System Using Arduino, Android and Wiki Software

Locating malicious bots in a large network is problematic because its internal firewalls and NAT routers unintentionally contribute to hiding bots' host address and malicious packets. However, eliminating firewalls and NAT routers for merely locating bots is generally not acceptable. In this paper, we propose an easy to deploy, easy to manage network security controlling system for locating a malicious host behind the internal secure gateways. This network security controlling system consists of a remote security device and a command server. Each of the remote security devices is installed as a transparent link (implemented as a L2 switch), between the subnet and its gateway, to detect a host which is compromised with a malicious bot in a target subnet, while minimizing impact of deployment. The security devices are remote controlled by 'polling' the command server in order to eliminating NAT traversal problem and to be firewall friendly. Since the remote security device lives in transparent, remote controlled and robust to security gateways, we regard it as a beneficial bot. We adopt a web server with wiki software as the command server in order to take advantage of its power of customization, easy to use and easy to deployment of the server.

Capturing malicious bots using a beneficial bot and wiki

A simple application program interface (API) for Java programs running on a wiki is implemented experimentally. A Java program with the API can be running on a wiki, and the Java program can save its data on the wiki. The Java program consists of PukiWiki, which is a popular wiki in Japan, and a plug-in, which starts up Java programs and classes of Java. A Java applet with default access privilege cannot save its data at a local host. We have constructed an API of applets for easy and unified data input and output at a remote host. We also combined the proposed API and the wiki system by introducing a wiki tag for starting Java applets. It is easy to introduce new types of applications using the proposed API. We have embedded programs such as a simple text editor, a simple music editor, a simple drawing program, and programming environments in a PukiWiki system using this API.

/pdf/a-simple-application-program-interface-for-saving-java-5fh0vun77r.pdf

A simple application program interface for saving java program data on a wiki

Locating malicious bots in a large network is problematic because the internal firewalls and network ad- dress translation (NAT) routers of the network unintentionally contribute to hiding the bots' host address and malicious packets. However, eliminating firewalls and NAT routers merely for locating bots is generally not acceptable. In the present paper, we propose an easy to deploy, easy to manage network security control system for locating a malicious host behind internal secure gateways. The proposed network security control system consists of a remote security device and a command server. The remote security device is installed as a transparent link (implemented as an L2 switch), between the subnet and its gateway in order to detect a host that has been compromised by a malicious bot in a target subnet, while minimizing the impact of deployment. The security device is controlled remotely by 'polling' the command server in order to eliminate the NAT traversal problem and to be firewall friendly. Since the remote security device exists in transparent, remotely controlled, robust security gateways, we regard this device as a beneficial bot. We adopt a web server with wiki software as the command server in order to take advantage of its power of customization, ease of use, and ease of deployment of the server.

https://ipsj.ixsq.nii.ac.jp/ej/index.php?action=pages_view_main&active_action=repository_action_common_download&item_id=91316&item_no=1&attribute_id=1&file_no=1&page_id=13&block_id=8

A Malicious Bot Capturing System using a Beneficial Bot and Wiki

A data processor, which inputs data from wiki pages, processes the data, and outputs the processed data on a wiki page, is proposed. This data processor is designed for a Machine-to-Machine (M2M) system, which uses Arduino, Android, and Wiki software. This processor is controlled by the program which is written on a wiki page. This M2M system consists of mobile terminals and web sites with wiki software. A mobile terminal of the system consists of an Android terminal and it may have an Arduino board with sensors and actuators. The mobile terminal can read data from not only the sensors in the Arduino board but also wiki pages on the Internet. The input data may be processed by the data processor of this paper. The processed data may be sent to a wiki page. The mobile terminal can control the actuators of the Arduino board by reading commands on the wiki page or by running the program of the processor. This system realizes an open communication forum for not only people but also for machines.

Koichi Shimozono

Papers

A M2M System Using Arduino, Android and Wiki Software

Capturing malicious bots using a beneficial bot and wiki

A simple application program interface for saving java program data on a wiki

A Malicious Bot Capturing System using a Beneficial Bot and Wiki

An Inter-Wiki Page Data Processor for a M2M System