A Wearable Ad Hoc Device for Situational Awareness and Trusted Collaboration

2019 ◽  
pp. 11-20
Author(s):  
Zhenyu Guan ◽  
Jiawei Li ◽  
Hao Liu ◽  
Dawei Li
Keyword(s):  
Ad Hoc ◽  
Situational Awareness

scholarly journals Multi_hop_Communication_cls_for_IEEE_Journals.pdf

2019 ◽  
Author(s):  
Neelabhro Roy ◽  
Sauranil Debarshi ◽  
P.B. Sujit
Keyword(s):  
Large Scale ◽  
Ad Hoc ◽  
Situational Awareness ◽  
Base Station ◽  
Mesh Network ◽  
Prototype System ◽  
Mobile Nodes ◽  
Alternative Means ◽  
System Configurations ◽  
Communication Breakdowns

Communication breakdowns during natural disasters can significantly restrict disaster management operations. Furthermore, the cellular networks may also be unreliable in these scenarios. Hence, establishing communication using alternative means is of importance in these scenarios. <br>In this paper, we propose a prototype system to establish communication (using wireless mesh network - WMN) through the use of stationary and mobile ground nodes, and aerial nodes using unmanned aerial vehicles (UAVs). This network is ad hoc and establishes connectivity without the use of a cellular network or internet. Our system provides a complete end to end architecture, where we deploy an android application on smart phones at the user-end, the ad hoc network comprising of stationary and mobile nodes, and a graphical user interface (GUI) at the base station that shows situational awareness. We use Robot Operating System (ROS) as the middleware for message synchronization and storage. We evaluate the system with three nodes for different system configurations by using UAV and a semi-autonomous car. Our experimental results show that the system could be indispensable in providing large scale connectivity.<br>

scholarly journals ROSNet: A WMN based Framework using UAVs and ground nodes for Post-Disaster Management

2020 ◽  
Author(s):  
Neelabhro Roy ◽  
Sauranil Debarshi ◽  
P.B. Sujit
Keyword(s):  
Disaster Management ◽  
Large Scale ◽  
Ad Hoc ◽  
Situational Awareness ◽  
Base Station ◽  
Mesh Network ◽  
Prototype System ◽  
Mobile Nodes ◽  
Alternative Means ◽  
Communication Breakdowns

<p>Communication breakdowns during natural disasters can significantly restrict disaster management operations. Furthermore, cellular networks may also be unreliable in such scenarios. Hence, establishing communication using alternative means is of importance in these scenarios. </p><p>In this paper, we propose a prototype system to establish communication using wireless mesh network, through the use of stationary and mobile ground nodes, and aerial nodes using unmanned aerial vehicles (UAVs). This network is ad hoc and establishes connectivity without the usage of a cellular network or internet. Our system provides a complete end to end architecture, where we deploy an android application on smartphones at the user-end, the ad hoc network comprising of stationary and mobile nodes, and a graphical user interface (GUI) at the base station that facilitates situational awareness. We use the Robot Operating System (ROS) as the middleware for message synchronization between the nodes as well for UAV control. We evaluate the system for different system configurations by using UAVs and a semi-autonomous car. Our experimental results show that the system could be indispensable in providing large scale connectivity.</p>

ROSNet: A WMN based Framework using UAVs and Ground Nodes for Disaster Management

2019 ◽  
Author(s):  
Neelabhro Roy ◽  
Sauranil Debarshi ◽  
P.B. Sujit
Keyword(s):  
Disaster Management ◽  
Large Scale ◽  
Ad Hoc ◽  
Situational Awareness ◽  
Base Station ◽  
Mesh Network ◽  
Prototype System ◽  
Mobile Nodes ◽  
Alternative Means ◽  
Communication Breakdowns

Communication breakdowns during natural disasters can significantly restrict disaster management operations. Furthermore, the cellular networks may also be unreliable in these scenarios. Hence, establishing communication using alternative means is of importance in these scenarios. <br>In this paper, we propose a prototype system to establish communication (using wireless mesh network - WMN) through the use of stationary and mobile ground nodes, and aerial nodes using unmanned aerial vehicles (UAVs). This network is ad hoc and establishes connectivity without the use of a cellular network or internet. Our system provides a complete end to end architecture, where we deploy an android application on smart phones at the user-end, the ad hoc network comprising of stationary and mobile nodes, and a graphical user interface (GUI) at the base station that shows situational awareness. We use Robot Operating System (ROS) as the middleware for message synchronization and storage. We evaluate the system with three nodes for different system configurations by using UAV and a semi-autonomous car. Our experimental results show that the system could be indispensable in providing large scale connectivity.<br>

scholarly journals Online social transparency in enterprise information systems: a risk assessment method

2021 ◽  
Author(s):  
Tahani Alsaedi ◽  
Nada Sherief ◽  
Keith Phalp ◽  
Raian Ali
Keyword(s):  
Risk Assessment ◽  
Information And Communication Technologies ◽  
Ad Hoc ◽  
Situational Awareness ◽  
Information Overload ◽  
Contextual Information ◽  
Peer Pressure ◽  
Assessment Method ◽  
Social Software ◽  
Social Loafing

AbstractTeleworking refers to the utilization of information and communication technologies for work done outside the workplace. The Covid-19 crisis led to increased utilisation of social networking tools within enterprises, especially when working remotely. The aim of their use is often to improve situational awareness, coordination, and collaboration amongst employees. Online social transparency, typically done through social networks or enterprise social software, refers to the voluntary sharing of personal and contextual information such as those relating to their own and team status, intentions, motivation, capabilities, goal priorities besides updates on the physical and social context, with other colleagues. An ad-hoc practice of social transparency can introduce risks such as information overload, social loafing and peer pressure. Despite recognising its adverse effects, there is a lack of systematic methods that identify and assess the risks of online social transparency. In this paper, we present a method to identify and evaluate these within enterprises. We present the method’s workflow, stakeholders, the novel artefacts and techniques devised to use and the outcomes to produce. We evaluate our proposed method by applying it in a real organisational context and assess applicability, efficiency, and effectiveness in identifying risks and supporting managers in risk assessment. The results showed that the method gives a framework of thinking and analysis and helps recognize and identify risks in a specialized manner.

ROSNet: A WMN based Framework using UAVs and ground nodes for Post-Disaster Management

2020 ◽  
Author(s):  
Neelabhro Roy ◽  
Sauranil Debarshi ◽  
P.B. Sujit
Keyword(s):  
Disaster Management ◽  
Large Scale ◽  
Ad Hoc ◽  
Situational Awareness ◽  
Base Station ◽  
Mesh Network ◽  
Prototype System ◽  
Mobile Nodes ◽  
Alternative Means ◽  
Communication Breakdowns

<p>Communication breakdowns during natural disasters can significantly restrict disaster management operations. Furthermore, cellular networks may also be unreliable in such scenarios. Hence, establishing communication using alternative means is of importance in these scenarios. </p><p>In this paper, we propose a prototype system to establish communication using wireless mesh network, through the use of stationary and mobile ground nodes, and aerial nodes using unmanned aerial vehicles (UAVs). This network is ad hoc and establishes connectivity without the usage of a cellular network or internet. Our system provides a complete end to end architecture, where we deploy an android application on smartphones at the user-end, the ad hoc network comprising of stationary and mobile nodes, and a graphical user interface (GUI) at the base station that facilitates situational awareness. We use the Robot Operating System (ROS) as the middleware for message synchronization between the nodes as well for UAV control. We evaluate the system for different system configurations by using UAVs and a semi-autonomous car. Our experimental results show that the system could be indispensable in providing large scale connectivity.</p>

scholarly journals COOPERATIVE UAS LOCALIZATION USING LOWCOST SENSORS

2016 ◽  
Vol III-1 ◽  
pp. 183-190
Author(s):  
Salil Goel ◽  
Allison Kealy ◽  
Bharat Lohani
Keyword(s):  
Information Acquisition ◽  
Ad Hoc ◽  
Situational Awareness ◽  
Mineral Exploration ◽  
Low Cost ◽  
Unmanned Aerial Systems ◽  
Cooperative Localization ◽  
Localization Accuracy ◽  
Node Network ◽  
The Individual

Networks of small, low cost Unmanned Aerial Systems (UASs) have the potential to improve responsiveness and situational awareness across an increasing number of applications including defense, surveillance, mapping, search and rescue, disaster management, mineral exploration, assisted guidance and navigation etc. These ad hoc UAS networks typically have the capability to communicate with each other and can share data between the individual UAS nodes. Thus these networks can operate as robust and efficient information acquisition platforms. For any of the applications involving UASs, a primary requirement is the localization i.e. determining the position and orientation of the UAS. The performance requirements of localization can vary with individual applications, for example: mapping applications need much higher localization accuracy as compared to the applications involving only surveillance. The sharing of appropriate data between UASs can prove to be advantageous when compared to a single UAS, in terms of improving the positioning accuracy and reliability particularly in partially or completely GNSS denied environments. This research aims to integrate low cost positioning sensors and cooperative localization technique for a network of UASs. Our hypothesis is that it is possible to achieve high accurate, real-time localization of each of the nodes in the network even with cheaper sensors if the nodes of the network share information among themselves. This hypothesis is validated using simulations and the results are analyzed both for centralized and distributed estimation architectures. At first, the results are studied for a two node network which is then expanded for a network containing more number of nodes. Having more nodes in the network allows us to study the properties of the network including the effect of size and shape of the network on accuracy of the nodes.

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