A novel design of energy efficient bidirectional passive optical green networks using reduced buffer with small packet size technique

2020 ◽  
Vol 62 (10) ◽  
pp. 3359-3362
Author(s):  
Rakesh Goyal ◽  
Rajinder Singh Kaler ◽  
Monika Rani
Keyword(s):  
Energy Efficient ◽  
Packet Size ◽  
Green Networks ◽  
Novel Design

Robust and energy-efficient carbon nanotube FET-based MVL gates: A novel design approach

2015 ◽  
Vol 46 (12) ◽  
pp. 1333-1342 ◽  
Author(s):  
Fazel Sharifi ◽  
Mohammad Hossein Moaiyeri ◽  
Keivan Navi ◽  
Nader Bagherzadeh
Keyword(s):  
Carbon Nanotube ◽  
Energy Efficient ◽  
Design Approach ◽  
Novel Design ◽  
Carbon Nanotube Fet

scholarly journals Energy Optimization in a Multihop Sensor Network for a WBAN Application

2021 ◽  
Vol 25 (1) ◽  
pp. 3-10
Author(s):  
Vishakha Tyagi ◽  
◽  
Sindhu Hak Gupta ◽  
Monica Kaushik ◽  
◽  
...  
Keyword(s):  
Energy Consumption ◽  
Data Transmission ◽  
Energy Efficient ◽  
Data Packet ◽  
Packet Size ◽  
Body Area ◽  
Swarm Optimization ◽  
Posture Change ◽  
Long Time ◽  
Efficient Data

Movement and posture change of human body plays a crucial role in energy consumption while data transmission between strategically deployed nodes in wireless body area networks (WBANs). The majority of energy is used in transmission rather than processing of the data. Nodes within body are there for long time and need to be energy efficient so that the network lifetime is increased. In this paper, we propose an energy efficient data transmission for multi-hop network that uses particle swarm optimization (PSO) for optimizing the parameters on which energy consumption relies. An energy efficient data transmission and reception takes place by altering the parameters like node to node distance and packet size of data. The obtained results show a significant reduction of energy consumed by reducing the packet size and keeping the node-to-sink distance a constant value. The total energy consumed per hop per bit length of data packet Emh/L shows 75% optimization. The energy consumed in data transmission per bit length of data E tx /L and the energy consumed for data received per bit length of data packet E rx /L is optimized by approximately 70% and 50% respectively for hope count 2 to 5.

scholarly journals Compact and Energy Efficient Neuron With Tunable Spiking Frequency in 22-nm FDSOI

2021 ◽  
Author(s):  
Hossein Eslahi ◽  
Tara Hamilton ◽  
Sourabh Khandelwal
Keyword(s):  
Gate Voltage ◽  
Energy Efficient ◽  
Low Energy ◽  
Back Gate ◽  
Neuron Circuit ◽  
Layout Area ◽  
First Time ◽  
Novel Design

<div>In this paper, we present an integrated and fire neuron designed in a 22-nm FDSOI technology. In this novel design, we deploy the back-gate terminal of FDSOI technology for a tunable design. For the first time, we show analytically and with pre- and post-layout simulations a neuron with tunable spiking frequency using the back-gate voltage of FDSOI technology. The neuron circuit is designed in the sub- hreshold region and dissipates an ultra-low energy per spike of the order of Femto Joules per spike. With the layout area of only 30 um2, this is the smallest neuron circuit reported to date.</div>

A Novel Design and Implementation of a Lightweight Energy-Efficient Robotic Fish

2015 ◽  
Vol 719-720 ◽  
pp. 298-305
Author(s):  
Qin Yan ◽  
Wen Shang ◽  
Jun Zhong ◽  
Qi Xin Zhu
Keyword(s):  
Energy Consumption ◽  
Energy Efficient ◽  
Low Energy ◽  
The Novel ◽  
Performance Study ◽  
Kinematic Parameters ◽  
Magnetomotive Force ◽  
Design And Implementation ◽  
Low Energy Consumption ◽  
Novel Design

Inspired by the astonishing ability of the fish, more and more researchers devote themselves to improving the performance of the underwater robotic propeller. In this paper, a novel design and a preliminary performance study of a lightweight robofish are presented. Firstly, the principle of the actuator by magnetomotive force is introduced. Secondly, the implementation of the biomimetic robofish is investigated. Finally, several expriments are conducted to explore the energy consumption of the magnetomoive force actuator and the affection of the kinematic parameters on the velocity. The experimental results reveal that the novel biomimetic robofish driven by magnetomotive force has a low energy consumption and shows good performance in swimming.

Energy Efficient Packet Data Service in Wireless Sensor Network in Presence of Rayleigh Fading

2011 ◽  
Vol 3 (3) ◽  
pp. 31-44 ◽  
Author(s):  
Arnab Nandi ◽  
Sumit Kundu
Keyword(s):  
Energy Efficient ◽  
Rayleigh Fading ◽  
Wireless Sensor ◽  
Data Service ◽  
Channel Fading ◽  
Packet Size ◽  
Node Density ◽  
Error Correction Capability ◽  
Packet Data ◽  
Packet Length

Energy level performances of three packet delivery schemes in Wireless Sensor Networks (WSN) are evaluated in presence of Rayleigh fading. Three different information delivery mechanisms are investigated using regenerative relays with or without error correction capability. Energy consumption for successful delivery of a data packet for each mechanism is evaluated and compared under several conditions of node density, bit rate, transmit power, and channel fading. Energy efficiencies of different retransmission schemes are also evaluated. Further, an optimal packet length based on energy efficiency is derived. Impact of optimal packet size on average number of retransmission and total energy expenditure is analyzed for each delivery scheme.

scholarly journals In-Memory-Computing Realization with a Photodiode/Memristor Based Vision Sensor

Materials ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5223
Author(s):  
Nikolaos Vasileiadis ◽  
Vasileios Ntinas ◽  
Georgios Ch. Sirakoulis ◽  
Panagiotis Dimitrakis
Keyword(s):  
Energy Efficient ◽  
State Of The Art ◽  
Behavioral Model ◽  
Resistance Switching ◽  
Hardware Accelerators ◽  
Vision Sensor ◽  
Memristive Device ◽  
Vision Sensors ◽  
Switching Dynamics ◽  
Novel Design

State-of-the-art IoT technologies request novel design solutions in edge computing, resulting in even more portable and energy-efficient hardware for in-the-field processing tasks. Vision sensors, processors, and hardware accelerators are among the most demanding IoT applications. Resistance switching (RS) two-terminal devices are suitable for resistive RAMs (RRAM), a promising technology to realize storage class memories. Furthermore, due to their memristive nature, RRAMs are appropriate candidates for in-memory computing architectures. Recently, we demonstrated a CMOS compatible silicon nitride (SiNx) MIS RS device with memristive properties. In this paper, a report on a new photodiode-based vision sensor architecture with in-memory computing capability, relying on memristive device, is disclosed. In this context, the resistance switching dynamics of our memristive device were measured and a data-fitted behavioral model was extracted. SPICE simulations were made highlighting the in-memory computing capabilities of the proposed photodiode-one memristor pixel vision sensor. Finally, an integration and manufacturing perspective was discussed.

Bulbous Bows for Energy Efficient Ships: Towards a Novel Design Approach

2015 ◽  
Author(s):  
A Grech La Rosa ◽  
◽  
G Thomas ◽  
E Muk-Pavic ◽  
T Dinham-Peren ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Design Approach ◽  
Novel Design
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