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Professionalism In Artificial Intelligence: The Link Between Technology And Ethics, Anton Klarin, Hossein Ali Abadi, Rifat Sharmelly
Professionalism In Artificial Intelligence: The Link Between Technology And Ethics, Anton Klarin, Hossein Ali Abadi, Rifat Sharmelly
Research outputs 2022 to 2026
Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three-step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework …
Energy Efficiency Performance Improvements For Ant-Based Routing Algorithm In Wireless Sensor Networks, A. M. Zungeru, Kah Phooi Seng, Li-Minn Ang, W.C. Chia
Energy Efficiency Performance Improvements For Ant-Based Routing Algorithm In Wireless Sensor Networks, A. M. Zungeru, Kah Phooi Seng, Li-Minn Ang, W.C. Chia
Research outputs 2013
The main problem for event gathering in wireless sensor networks (WSNs) is the restricted communication range for each node. Due to the restricted communication range and high network density, event forwarding in WSNs is very challenging and requires multihop data forwarding. Currently, the energy-efficient ant based routing (EEABR) algorithm, based on the ant colony optimization (ACO) metaheuristic, is one of the state-of-the-art energy-aware routing protocols. In this paper, we propose three improvements to the EEABR algorithm to further improve its energy efficiency. The improvements to the original EEABR are based on the following: (1) a new scheme to intelligently initialize …
An Adaptive Lossless Data Compression Scheme For Wireless Sensor Networks, Jonathan Gana Kolo, S. Andan Shanmugam, David Wee Gin Lim, Li-Minn Ang, Kah Phooi Seng
An Adaptive Lossless Data Compression Scheme For Wireless Sensor Networks, Jonathan Gana Kolo, S. Andan Shanmugam, David Wee Gin Lim, Li-Minn Ang, Kah Phooi Seng
Research outputs 2012
Energy is an important consideration in the design and deployment of wireless sensor networks (WSNs) since sensor nodes are typically powered by batteries with limited capacity. Since the communication unit on a wireless sensor node is the major power consumer, data compression is one of possible techniques that can help reduce the amount of data exchanged between wireless sensor nodes resulting in power saving. However, wireless sensor networks possess significant limitations in communication, processing, storage, bandwidth, and power. Thus, any data compression scheme proposed for WSNs must be lightweight. In this paper, we present an adaptive lossless data compression (ALDC) …
Performance Of Termite-Hill Routing Algorithm On Sink Mobility In Wireless Sensor Networks, Adamu M Zungeru, Li-Minn Ang, Kah Phooi Seng
Performance Of Termite-Hill Routing Algorithm On Sink Mobility In Wireless Sensor Networks, Adamu M Zungeru, Li-Minn Ang, Kah Phooi Seng
Research outputs 2012
High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony …
Using Monte Carlo Tree Search For Replanning In A Multistage Simultaneous Game, Daniel Beard, Philip Hingston, Martin Masek
Using Monte Carlo Tree Search For Replanning In A Multistage Simultaneous Game, Daniel Beard, Philip Hingston, Martin Masek
Research outputs 2012
In this study, we introduce MC-TSAR, a Monte Carlo Tree Search algorithm for strategy selection in simultaneous multistage games. We evaluate the algorithm using a battle planning scenario in which replanning is possible. We show that the algorithm can be used to select a strategy that approximates a Nash equilibrium strategy, taking into account the possibility of switching strategies part way through the execution of the scenario in the light of new information on the progress of the battle.
Engineering A Suburban Ad-Hoc Network, Mike Tyson, Ronald D. Pose, Carlo Kopp, Mohammad Rokonuzzaman, Muhammad Mahmudul Islam
Engineering A Suburban Ad-Hoc Network, Mike Tyson, Ronald D. Pose, Carlo Kopp, Mohammad Rokonuzzaman, Muhammad Mahmudul Islam
Australian Information Warfare and Security Conference
Networks are growing in popularity, as wireless communication hardware, both fixed and mobile, becomes more common and affordable. The Monash Suburban Ad-Hoc Network (SAHN) project has devised a system that provides a highly secure and survivable ad-hoc network, capable of delivering broadband speeds to co-operating users within a fixed environment, such as a residential neighbourhood, or a campus. The SAHN can be used by residents within a community to exchange information, to share access to the Internet, providing last-mile access, or for local telephony and video conferencing. SAHN nodes are designed to be self-configuring and selfmanaging, relying on no experienced …