Efficient Data Packet Compression for Cache Coherent Multiprocessor Systems

2012 ◽  
Author(s):  
Baik Song An ◽  
Manhee Lee ◽  
Ki Hwan Yum ◽  
Eun Jung Kim
Keyword(s):  
Data Packet ◽  
Multiprocessor Systems ◽  
Efficient Data

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.

IoT based e-Healthcare System to Enable Remote Patient Care based on Cloud Server

2017 ◽  
Vol 7 (7) ◽  
pp. 36
Author(s):  
P.Venu Gopala Rao ◽  
Eslavath Raja ◽  
Ramakrishna Gandi ◽  
G. Ravi Kumar
Keyword(s):  
Low Cost ◽  
Vital Signs ◽  
Smart Phone ◽  
Medical Professional ◽  
Design Parameters ◽  
Cloud Server ◽  
Significant Area ◽  
Efficient Data ◽  
System Data ◽  
Remote Patient

IoT (Internet of Things) has become most significant area of research to design an efficient data enabled services with the help of sensors. In this paper, a low-cost system design for e-healthcare service to process the sensitive health data is presented. Vital signs of the human body are measured from the patient location and shared with a registered medical professional for consultation. Temperature and heart rate are the major signals obtained from a patient for the initial build of the system. Data is sent to a cloud server where processing and analysis is provided for the medical professional to analyze. Secure transmission and dissemination of data through the cloud server is provided with an authentication system and the patient could be able to track his data through a smart phone on connecting to the cloud server. A prototype of the system along with its design parameters has been discussed.

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