To overcome the above drawbacks in current surveys, in this survey, we review current coverage optimization problem in heterogeneous sensor networks and its ...
Dec 1, 2019 · We have sketched a general research framework based on the reinforcement learning. Abstract. Sensor networks, as a promising network paradigm, ...
In [80], Mohamed et al. give a survey on how to enhance coverage performance in mobile sensor networks. Wang et al. [81] have reviewed and discussed the ...
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... In this paper, we aimed at single-view activity recognition that cannot provide full 360degree coverage of an activity. In future research, we will analyze ...
Aug 13, 2020 · The particle swarm optimization algorithm is used to optimize the input weight matrix and the hidden layer bias of the extreme learning machine.
Data fusion based coverage optimization in heterogeneous sensor networks: A survey · Localized confident information coverage hole detection in internet of ...
Sep 14, 2021 · The proposed technique is trained and tested using the standard WSN datasets recorded from different laboratories. The simulation results show ...
Deng, Data fusion based coverage optimization in heterogeneous sensor networks: A survey, Inf. ... Das, A survey on coverage problems in wireless sensor network ...
In 2018, Lu et al. proposed an FA-based WSN coverage optimization technique that involves switching out two sensors' placements at once to increase network ...
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Feb 2, 2023 · PDF | One of the most important challenges for heterogeneous wireless sensor networks (HWSNs) is adequate network coverage and connectivity.