In this paper, we first formulate a cellular learning automata (CLA)-based area coverage problem of sensor self-relocation (SSR) to achieve confident ...
Edge-Aided Cellular Learning Automata for Energy-Efficient Sensor Self-Relocation in Mobile WSNs. Abstract: With the rapid development of micro-electronics ...
... Aided Cellular Learning Automata for Energy-Efficient Sensor Self-Relocation in Mobile WSNs ... edge computing framework that mainly includes the cloud and edge ...
In this paper, based on learning automata we apply ... Edge-Aided Cellular Learning Automata for Energy-Efficient Sensor Self-Relocation in Mobile WSNs.
In this paper, we revisit the SR problem in mobile WSNs. In terms of response time and moving distance, the proposed algorithm moves redundant sensors to faulty ...
Abstract: One important problem which may arise in designing a deployment strategy for a wireless sensor network is how to deploy a specific number of ...
Missing: Aided | Show results with:Aided
[PDF] A New Adaptive Approach for Efficient Energy Consumption in Edge ...
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Jan 8, 2023 · a mobile wireless sensor network with k-coverage constraint: a cellular learning automata approach." Wireless networks, Vol. 19, No. 5, pp ...
Missing: Relocation | Show results with:Relocation
Nov 15, 2023 · Incorporating deep learning and intelligent grouping, our approach extends WSN lifespan and improves data transmission efficiency. DL-GMA ...
Missing: Aided Cellular Automata Relocation
The primary goal of applying the proposed DOS-RL routing scheme is to optimize energy consumption in IoT networks, a paramount concern given the limited energy ...
A planar graph is a graph where no edges cross; planarization is the action of re- moving some edges from a graph for it to become planar. Although all ...