Publications by authors named "M Challenger"

In recent years, the development of smart cities has accelerated. There are several issues to handle in smart cities, one of the most important of which is efficient resource allocation. For the modeling of smart cities, multi-agent systems (MASs) can be used.

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Wireless sensor networks (WSNs) achieving environmental sensing are fundamental communication layer technologies in the Internet of Things. Battery-powered sensor nodes may face many problems, such as battery drain and software problems. Therefore, the utilization of self-stabilization, which is one of the fault-tolerance techniques, brings the network back to its legitimate state when the topology is changed due to node leaves.

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Wireless sensor networks can be used as cost-effective monitoring and automation platforms in smart manufacturing and Industry 4.0. Maximizing the covered area and increasing the network lifetime are two challenging tasks in wireless sensor networks.

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A Wireless Sensor Network (WSN) is connected if a communication path exists among each pair of sensor nodes (motes). Maintaining reliable connectivity in WSNs is a complicated task, since any failure in the nodes can cause the data transmission paths to break. In a -connected WSN, the connectivity survives after failure in any -1 nodes; hence, preserving the -connectivity ensures that the WSN can permit -1 node failures without wasting the connectivity.

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In recent years, the established paradigm of the three Rs of animal research-refinement, replacement, and reduction-has come under scrutiny. A crucial weakness in use of the three Rs is uncertainty about how they should be prioritized. Events like pandemics have the power to alter the research landscape, fast-tracking innovation and setting new precedents.

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