scholarly journals An Analytical Model for IEEE 802.15.4 with Sleep Mode Based on Time-Varying Queue

2011 ◽  
Author(s):  
Zhuoling Xiao ◽  
Chen He ◽  
Lingge Jiang
Keyword(s):  
Analytical Model ◽  
Ieee 802.15.4 ◽  
Sleep Mode ◽  
Time Varying

scholarly journals Performance Effects of Current Consumption on Radio Receiver Bit Error Rate in IEEE 802.15.4 for Wireless Sensor Networks

2014 ◽  
Vol 13 (9) ◽  
pp. 4868-4880
Author(s):  
Sukhvinder Singh Bamber
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Bit Error Rate ◽  
Error Rate ◽  
Ieee 802.15.4 ◽  
Performance Enhancement ◽  
Initial Energy ◽  
Wireless Sensor ◽  
Radio Receiver ◽  
Sleep Mode

This paper investigates the radio receiver Bit Error Rate (BER) at different types of devices in IEEE 802.15.4 Wireless Sensor Networks (WSNs) for the different current draw parameters: transmit mode, receive mode, sleep mode and idle mode keeping other parameters like: initial energy and power supply same for all motes; Clearly proving that if BER is to be taken into consideration for the performance enhancement then Z1 mote should be implemented in IEEE 802.15.4 WSNs as they produce minimal BER. 

Performance comparison of electrorheological valves with two different geometric configurations: Cylinder and plate

2008 ◽  
Vol 223 (3) ◽  
pp. 573-581 ◽  
Author(s):  
Y-M Han ◽  
K-G Sung ◽  
J W Sohn ◽  
S-B Choi
Keyword(s):  
Pressure Drop ◽  
Response Time ◽  
Analytical Model ◽  
Performance Comparison ◽  
Time Varying ◽  
Control Performance ◽  
Electrode Gap ◽  
Design Constraint ◽  
Geometric Configurations ◽  
Er Fluid

This article presents a control performance comparison of electrorheological (ER) fluid-based valves between cylindrical and plate configurations. After identifying Bingham characteristics of chemical starch-based ER fluid, an analytical model of each valve is established. In order to reasonably compare valve performance, design constraint is imposed by the choosing the same electrode gap and length, and each ER valve is manufactured. Valve performances such as pressure drop and response time are then evaluated and compared through analytical model and experiment. In addition, a time-varying pressure tracking controllability of each ER valve is experimentally realized.

Time-varying mesh stiffness calculation for gear pairs with misalignment errors in multiple degrees of freedom based on an analytical method

2021 ◽  
pp. 095440622110392
Author(s):  
Qi Wen ◽  
Qi Chen ◽  
Qungui Du ◽  
Yong Yang
Keyword(s):  
Analytical Model ◽  
Contact Line ◽  
Degrees Of Freedom ◽  
Three Dimensional ◽  
Single Pair ◽  
Time Varying ◽  
Mesh Stiffness ◽  
Position Change ◽  
Multiple Degrees Of Freedom ◽  
Effective Contact

Misalignment errors (MEs) in multiple degrees of freedom (multi-DOFs) at the mesh position will lead to a change in the time-varying mesh stiffness (TVMS) and then affect the dynamic behaviour of gear pairs. Therefore, a new, more rapid, three-dimensional analytical model for TVMS calculation for gear pairs with three rotational and three translational MEs is established in this paper, and a new solution method based on potential energy theory is presented. In addition, the correctness of the new model is verified by the finite element method (FEM). Moreover, the effective contact line, uneven distribution of mesh force on the contact line, and mesh position change are taken into account. Finally, the TVMS under different ME conditions is calculated with the new analytical model. The results showed that the different MEs have dissimilar effects on the TVMS, and the relationship between the ME and TVMS is nonlinear. In addition, the region of single-pair and double-pair teeth in contact would also change with ME.

An analytical model for preliminary assessment of dredging-induced sediment plume of far-field evolution for spatial non homogeneous and time varying resuspension sources

2017 ◽  
Vol 127 ◽  
pp. 106-118 ◽  
Author(s):  
Marcello Di Risio ◽  
Davide Pasquali ◽  
Iolanda Lisi ◽  
Alessandro Romano ◽  
Massimo Gabellini ◽  
...  
Keyword(s):  
Analytical Model ◽  
Far Field ◽  
Time Varying ◽  
Preliminary Assessment ◽  
Field Evolution

scholarly journals Mutual Aid Among Sensors: An Emergency Function for Sensor Networks

2020 ◽  
Author(s):  
Costas Michaelides ◽  
Foteini-Niovi Pavlidou
Keyword(s):  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Mutual Aid ◽  
Neighboring Node ◽  
Data Packets ◽  
Critical Data ◽  
Timely Delivery

A large number of wireless sensor nodes in a certain area results in high contention. Inevitably, the transmissions of any possible critical data packets may fail due to collisions. In this article, we introduce an aspect of human intelligence in wireless sensor networks, influenced by cooperative networking, which enhances the timely delivery of critical data. Mutual aid among sensors (MAAS), is an emergency out-of-the-box medium access control (MAC) function for IEEE 802.15.4-2020. Specifically, the network coordinator detects critical data packets and sets an emergency flag to its next beacon, to inform the nodes that they may overhear data packets. When a node overhears a critical data packet from a neighboring node it switches to sleep mode and stays idle until the end of the superframe. Thus, interference is mitigated locally and temporarily. Simulation results, using the CC2650 radio parameters in OMNeT++, show that interference is reduced significantly, in favor of the timely delivery of critical data packets.

scholarly journals A Decision Analytical Model Investigating Cost-Effectiveness of Erlotinib

2020 ◽  
Author(s):  
Mohammed Alam
Keyword(s):  
Cost Effectiveness ◽  
Markov Model ◽  
Analytical Model ◽  
State Transition ◽  
Transition Probabilities ◽  
Qaly Gain ◽  
Health State ◽  
Time Varying ◽  
Decision Analytical Model ◽  
The Cost

Background: A decision analytical model investigating cost-effectiveness of Erlotinib was submitted to the UK NICE (National Institute for Health and Care Excellence), which was not based on actual health-state transition probabilities, leading to structural uncertainty in the model. The study adopted a Markov state-transition model for investigating the cost-effectiveness of Erlotinib versus Best Supportive Care (BSC) as a maintenance therapy for patients with non-small cell lung cancer (NSCLC). Methods: Unlike manufacturer submission (MS), the Markov model was governed by transition probabilities, and allowed a negative post-progression survival (PPS) estimate to appear in later cycle. Using published summary survival data, the study employs three fixed- and time-varying approaches to estimate state transition probabilities that are used in a restructured model. Results: Post-progression probabilities and probabilities of death for Erlotinib were different than fixed-transition approaches. The best fitting curves are achieved for both PPS and probability of death across the time for which data were available, but the curves start diverging towards the end of this period. The Markov model which extrapolates the curves forward in time suggests that this difference between a time-varying and fixed-transition becomes even greater. Our models produce an ICER of £54k -£66k per QALY gain, which is comparable to an ICER presented in the MS (£55k/QALY gain). Conclusions: Results from restructured Markov models show robust cost-effectiveness results for Erlotinib vs BSC. Although these are comparable to manufacturer submissions, in terms of magnitude, they vary, and which are crucial for interventions falling near a threshold value. The study will further explore the cost-effectiveness of therapies for NSCLC in Qatar.

An Energy-Efficient Sleep Mode in IEEE 802.15.4 by Considering Sensor Device Mobility

2012 ◽  
Vol E95.B (6) ◽  
pp. 2117-2120
Author(s):  
Jinho KIM ◽  
Jun LEE ◽  
Choong Seon HONG ◽  
Sungwon LEE
Keyword(s):  
Energy Efficient ◽  
Ieee 802.15.4 ◽  
Sleep Mode ◽  
Sensor Device
Sign in / Sign up

Export Citation Format

Share Document