Design and Implementation of Communication Protocol of Sea-Floor Observatory

2013 ◽  
Author(s):  
Xiu Li ◽  
Rongsheng Huang ◽  
Zhenhua Guo
Keyword(s):  
Communication Protocol ◽  
Sea Floor ◽  
Design And Implementation

Design and Implementation of Hybrid Time (HT) Group Communication Protocol for Homogeneous Broadcast Groups

2011 ◽  
Vol 2 (3) ◽  
pp. 37-48 ◽  
Author(s):  
Isamu Tsuneizumi ◽  
Ailixier Aikebaier ◽  
Makoto Ikeda ◽  
Tomoya Enokido ◽  
Makoto Takizawa
Keyword(s):  
Communication Protocol ◽  
Group Communication ◽  
Linear Time ◽  
Communication Overhead ◽  
Design And Implementation ◽  
Physical Time ◽  
Message Length

To realize the cooperation of a group of multiple peer processes (peers), messages sent by peers must be causally delivered to every peer. In a scalable group, it is necessary to reduce the communication overhead to causally deliver messages. In this paper, the authors take advantage of the linear time (LT) and physical time (PT) protocols, as the message length is O(n) for the number n of peers. However, some pairs are unnecessarily ordered, that is, even if a pair of messages is ordered in the protocols, the messages may not be causally ordered. The greater the number of messages that are unnecessarily ordered, the larger the overhead is implied since the messages must be kept in a receipt queue if a message is lost or delayed. This paper discusses a hybrid time group communication (HT) protocol that reduces the number of messages unnecessarily ordered. The HT protocol is evaluated in terms of the number of unnecessarily ordered messages compared with the PT and LT protocols. It is demonstrated that the number of unnecessarily ordered messages can be reduced in the HT protocol compared with the LT and PT protocols.

scholarly journals RECONNAISSANCE MICRO UAV SYSTEM

2015 ◽  
Vol 2 (2) ◽  
pp. 15-21 ◽  
Author(s):  
Petr Gabrlik ◽  
Vlastimil Kriz ◽  
Ludek Zalud
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Communication Protocol ◽  
Robotic System ◽  
Design And Implementation ◽  
System A ◽  
Flying Robot ◽  
The Mathematical Model

This paper describes the design and implementation of the Uranus UAV. This quad-rotor flying robot was created to extend the abilities of the hitherto developed with airborne missions. The first part deals with the mathematical model of the robot. Next, the control system is designed, and the proposed hardware as well as the implemented software solution are presented. For integration into the robotic system, a new communication protocol was created and is described here too.

scholarly journals Design and Implementation of a LoRa Communication System Supporting Edge Computing on the Smart Multi-Platform IoT Gateway

2021 ◽  
Vol 31 (2) ◽  
pp. 10-18
Keyword(s):  
Power Consumption ◽  
Communication System ◽  
Communication Protocol ◽  
Edge Computing ◽  
Test Results ◽  
Processing Load ◽  
Design And Implementation ◽  
Iot Applications ◽  
Real Time Applications ◽  
Design And Manufacture

LoRa technology was developed over 10 years ago, with many communication protocols optimized for LoRaWAN. However, in the protocols, all data from the end devices are sent directly or forwarded through a gateway to the LoRaWAN server and processed centrally there. Accordingly, the gateway only acts as a forwarder. This mechanism increases the processing load on the server, increases latency, and is not suitable for applications with a large number of end devices or that require real-time applications. In this paper, we design and develop a new LoRa communication protocol that supports edge computing at the gateway. At the same time, the authors design and manufacture a Smart Multiplatform IoT Gateway (SMGW) and LoRa nodes that allow the implementation and evaluation of the proposed protocol in practice. The test results on a system of 50 LoRa nodes and the SMGW show that the proposed protocol works well when evaluating its performance in terms of reliability, latency, and power consumption. This proposed system is suitable for applications that require edge computing and is easily extendable to other IoT applications.

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