Task assignment is a crucial problem in wireless sensor networks (WSNs) that may affect the completion quality of sensing tasks. From the perspective of global optimization, a transmission-oriented reliable and energy-efficient task allocation (TRETA) is proposed, which is based on a comprehensive multi-level view of the network and an evaluation model for transmission in WSNs. To deliver better fault tolerance, TRETA dynamically adjusts in event-driven mode. Aiming to solve the reliable and efficient distributed task allocation problem in WSNs, two distributed task assignments for WSNs based on TRETA are proposed. In the former, the sink assigns reliability to all cluster heads according to the reliability requirements, so the cluster head performs local task allocation according to the assigned phase target reliability constraints. Simulation results show the reduction of the communication cost and latency of task allocation compared to centralized task assignments. Like the latter, the global view is obtained by fetching local views from multiple sink nodes, as well as multiple sinks having a consistent comprehensive view for global optimization. The way to respond to local task allocation requirements without the need to communicate with remote nodes overcomes the disadvantages of centralized task allocation in large-scale sensor networks with significant communication overheads and considerable delay, and has better scalability.
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http://dx.doi.org/10.3390/s19225028 | DOI Listing |
J Gen Intern Med
January 2025
VA Puget Sound Health Care System, Seattle, WA, USA.
Background: Prior research has shown that primary care clinicians (PCPs) spend a large portion of clinic visits on tasks within the electronic health record (EHR). However, no time allocation studies have been done in the Veterans Health Administration (VHA) and little is known about EHR time spent during virtual visits.
Objective: To estimate the proportion of clinician time spent working within the EHR during primary care visits at VHA clinics.
Cogn Affect Behav Neurosci
January 2025
Department of Psychology, University of Denver, 2155 South Race Street, Denver, CO, 80208, USA.
Emotion regulation is integral to well-being and adaptive behavior. Differing regulation strategies have important downstream consequences. Evidence suggests that reappraisal use can improve memory and reduce emotional reactivity to previously regulated stimuli.
View Article and Find Full Text PDFSleep Adv
November 2024
Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany.
Study Objectives: The "Zeigarnik effect" refers to the phenomenon where future intentions are remembered effectively only as long as they are not executed. This study investigates whether these intentions, which remain active during sleep, influence dream content.
Methods: After an adaptation night, each of the 19 participants (10 women and 9 men) received three different task plans in the evening before the experimental night, each describing how to perform specific tasks.
Neuroimage Clin
January 2025
Clinical Neurophysiology Research Laboratory, Western Psychiatric Hospital, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Predicting symptom progression in first-episode psychosis (FEP) is crucial for tailoring treatment and improving outcomes. Temporal lobe function, indicated by neurophysiological biomarkers like N100, predicts symptom progression and correlates with untreated psychosis. Our recent report showed that source-localized magnetoencephalography (MEG) M100 responses to tones in an oddball paradigm predicted recovery in FEP positive symptoms.
View Article and Find Full Text PDFBMC Geriatr
January 2025
Department of Rehabilitation Medicine (Rehabilitation Center), Qilu Hospital of Shandong University, No. 107, Wenhuaxi Road, Jinan , Shandong, 250012, China.
Background: Mild cognitive impairment (MCI) is a high-risk factor for dementia and dysphagia; therefore, early intervention is vital. The effectiveness of intermittent theta burst stimulation (iTBS) targeting the right dorsal lateral prefrontal cortex (rDLPFC) remains unclear.
Methods: Thirty-six participants with MCI were randomly allocated to receive real (n = 18) or sham (n = 18) iTBS.
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