Thesis Chapters by Abdullah Albuali
In Underwater Acoustic Sensor Networks (UWASNs), cameras have recently been
deployed for enhanced... more In Underwater Acoustic Sensor Networks (UWASNs), cameras have recently been
deployed for enhanced monitoring. However, their use has faced several obstacles. Since
video capturing and processing consume significant amounts of camera battery power,
they are kept in sleep mode and activated only when ultrasonic sensors detect a target.
The present study proposes a camera relocation structure in UWASNs to maximize the
coverage of detected targets with the least possible vertical camera movement. This
approach determines the coverage of each acoustic sensor in advance by getting the most
applicable cameras in terms of orientation and frustum of camera in 3-D that are covered
by such sensors. Whenever a target is exposed, this information is then used and shared
with other sensors that detected the same target. Compared to a flooding-based
approach, experiment results indicate that this proposed solution can quickly capture the
detected targets with the least camera movement.
Papers by Abdullah Albuali
2015 IEEE 40th Conference on Local Computer Networks (LCN), 2015
Emerging cloud systems, such as volunteer clouds and mobile clouds, are getting momentum among th... more Emerging cloud systems, such as volunteer clouds and mobile clouds, are getting momentum among the current topics that dominate the research landscape of Cloud Computing. Volunteer cloud computing is an economical, secure, and greener alternative solution to the current Cloud Computing model that is based on data centers, where tens of thousands of dedicated servers are setup to back the cloud services. This paper presents cuCloud, a Volunteer Computing as a Service (VCaaS) system that is based on the spare resources of personal computers owned by individuals and/or organizations. The paper addresses the design and implementation issues of cuCloud, including the technical details of its integration with the well-known open source IaaS cloud management system, CloudStack. The paper also presents the empirical performance evidence of cuCloud in comparison with Amazon EC2 using a big-data application based on Hadoop.
In this paper we argue for computing social capital in prevailing social networks. We posit that ... more In this paper we argue for computing social capital in prevailing social networks. We posit that the number of incoming links to a node does not represent the value of the node’s social capital. We have developed a methodology for categorizing the types of connected links according to the nature of social interaction in the incident link. Each incident link will contribute a different value corresponding to its group. By finding the ratio between the total number of connected nodes and their values, we compute the social capital value (SCV). Social capital may yield positive or negative quantity.
2017 IEEE 10th International Conference on Cloud Computing (CLOUD)
Edge Computing – EDGE 2019
Lecture Notes in Computer Science
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Thesis Chapters by Abdullah Albuali
deployed for enhanced monitoring. However, their use has faced several obstacles. Since
video capturing and processing consume significant amounts of camera battery power,
they are kept in sleep mode and activated only when ultrasonic sensors detect a target.
The present study proposes a camera relocation structure in UWASNs to maximize the
coverage of detected targets with the least possible vertical camera movement. This
approach determines the coverage of each acoustic sensor in advance by getting the most
applicable cameras in terms of orientation and frustum of camera in 3-D that are covered
by such sensors. Whenever a target is exposed, this information is then used and shared
with other sensors that detected the same target. Compared to a flooding-based
approach, experiment results indicate that this proposed solution can quickly capture the
detected targets with the least camera movement.
Papers by Abdullah Albuali
deployed for enhanced monitoring. However, their use has faced several obstacles. Since
video capturing and processing consume significant amounts of camera battery power,
they are kept in sleep mode and activated only when ultrasonic sensors detect a target.
The present study proposes a camera relocation structure in UWASNs to maximize the
coverage of detected targets with the least possible vertical camera movement. This
approach determines the coverage of each acoustic sensor in advance by getting the most
applicable cameras in terms of orientation and frustum of camera in 3-D that are covered
by such sensors. Whenever a target is exposed, this information is then used and shared
with other sensors that detected the same target. Compared to a flooding-based
approach, experiment results indicate that this proposed solution can quickly capture the
detected targets with the least camera movement.