Multimetric Event-Driven System for Long-Term Wireless Sensor Operation for SHM Applications

2020 ◽  
Vol 20 (10) ◽  
pp. 5350-5359
Author(s):  
Muhammad Zohaib Sarwar ◽  
Muhammad Rakeh Saleem ◽  
Jong-Woong Park ◽  
Do-Soo Moon ◽  
Dong Joo Kim
Keyword(s):  
Wireless Sensor ◽  
Driven System ◽  
Event Driven

Design and Application of Task Scheduling Module Based on Priority Table Query in Wireless Sensor Network Node

2014 ◽  
Vol 536-537 ◽  
pp. 731-734
Author(s):  
Kang Hong Duan ◽  
Li Ting Zhang ◽  
Long Ma ◽  
Hong Xin Zhang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Task Scheduling ◽  
Wireless Sensor ◽  
Network Node ◽  
Driven Systems ◽  
Driven System ◽  
Event Driven ◽  
Time Critical ◽  
Priority Table

Event-driven systems and thread-driven systems are two major design philosophies of operating system in wireless sensor networks. Systems based on multi-threaded are more timeliness than the event-driven systems, which can meet the requirements of time-critical tasks by means of task preemption, while systems based on event-driven are more energy efficient.The article introduces a task scheduling module in event-driven system. The module takes a kind of priority table query method to choose the most important task with highest priority to schedule.It is seen that the module is suitable wireless sensor network.

scholarly journals Investigating Master–Slave Architecture for Underwater Wireless Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3000
Author(s):  
Sadeeq Jan ◽  
Eiad Yafi ◽  
Abdul Hafeez ◽  
Hamza Waheed Khatana ◽  
Sajid Hussain ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Propagation Delay ◽  
Data Packet ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Term Survival ◽  
Limited Bandwidth ◽  
Delay Tolerant

A significant increase has been observed in the use of Underwater Wireless Sensor Networks (UWSNs) over the last few decades. However, there exist several associated challenges with UWSNs, mainly due to the nodes’ mobility, increased propagation delay, limited bandwidth, packet duplication, void holes, and Doppler/multi-path effects. To address these challenges, we propose a protocol named “An Efficient Routing Protocol based on Master–Slave Architecture for Underwater Wireless Sensor Network (ERPMSA-UWSN)” that significantly contributes to optimizing energy consumption and data packet’s long-term survival. We adopt an innovative approach based on the master–slave architecture, which results in limiting the forwarders of the data packet by restricting the transmission through master nodes only. In this protocol, we suppress nodes from data packet reception except the master nodes. We perform extensive simulation and demonstrate that our proposed protocol is delay-tolerant and energy-efficient. We achieve an improvement of 13% on energy tax and 4.8% on Packet Delivery Ratio (PDR), over the state-of-the-art protocol.

scholarly journals Event-Driven Simulation Scheme for Spiking Neural Networks Using Lookup Tables to Characterize Neuronal Dynamics

2006 ◽  
Vol 18 (12) ◽  
pp. 2959-2993 ◽  
Author(s):  
Eduardo Ros ◽  
Richard Carrillo ◽  
Eva M. Ortigosa ◽  
Boris Barbour ◽  
Rodrigo Agís
Keyword(s):  
Synaptic Plasticity ◽  
High Speed ◽  
Large Scale ◽  
Computational Cost ◽  
Brain Structures ◽  
Spike Timing ◽  
Neuronal Dynamics ◽  
Event Driven ◽  
Synaptic Dynamics

Nearly all neuronal information processing and interneuronal communication in the brain involves action potentials, or spikes, which drive the short-term synaptic dynamics of neurons, but also their long-term dynamics, via synaptic plasticity. In many brain structures, action potential activity is considered to be sparse. This sparseness of activity has been exploited to reduce the computational cost of large-scale network simulations, through the development of event-driven simulation schemes. However, existing event-driven simulations schemes use extremely simplified neuronal models. Here, we implement and evaluate critically an event-driven algorithm (ED-LUT) that uses precalculated look-up tables to characterize synaptic and neuronal dynamics. This approach enables the use of more complex (and realistic) neuronal models or data in representing the neurons, while retaining the advantage of high-speed simulation. We demonstrate the method's application for neurons containing exponential synaptic conductances, thereby implementing shunting inhibition, a phenomenon that is critical to cellular computation. We also introduce an improved two-stage event-queue algorithm, which allows the simulations to scale efficiently to highly connected networks with arbitrary propagation delays. Finally, the scheme readily accommodates implementation of synaptic plasticity mechanisms that depend on spike timing, enabling future simulations to explore issues of long-term learning and adaptation in large-scale networks.

The care and feeding of the JWST on-board event-driven system

2010 ◽  
Author(s):  
Vicki Balzano ◽  
Dean Zak ◽  
William Whitman
Keyword(s):  
Driven System ◽  
Event Driven

An Event-Driven System-Level Noise Analysis Methodology for RF Systems

2021 ◽  
Author(s):  
Christoph Beyerstedt ◽  
Jonas Meier ◽  
Fabian Speicher ◽  
Ralf Wunderlich ◽  
Stefan Heinen
Keyword(s):  
Noise Analysis ◽  
System Level ◽  
Rf Systems ◽  
Analysis Methodology ◽  
Driven System ◽  
Event Driven

Clustering-based Energy Efficient Multipath Adaptive Routing Protocols for Underwater Wireless Sensor Networks

2020 ◽  
Vol 6 (2) ◽  
pp. EC-54-EC-62
Author(s):  
Edy Victor Haryanto ◽  
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Transmission Rate ◽  
Adaptive Routing ◽  
Maximum Energy ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Underwater Wireless Sensor Networks

In an underwater wireless sensor network (UWSN), research challenges occur in the availability of new connectivity protocols, sensors, and utilization of energy. One of the issues is to enhance the lifespan of the network without increasing the supply, cost, and level of resources. This paper proposes a conceptual routing protocol for UWSN, known as Energy-Efficient Multipath Adaptive Routing (E2MAR) protocols, which is primarily intended for long-term control with greater energy efficiency and transmission rate. Key development conditions were set by the E2MR and forward nodes are chosen based on the performance index. Different tests are carried out by evaluating E2MR in terms of the number of live nodes, end-to-end latency, packet delivery rate, and maximum energy usage efficiently compared to some other Routing protocols. The lifespan of the network has also been greatly enhanced.

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