Design and Tests of Wireless Network for Heat Metering System

2012 ◽  
Vol 182-183 ◽  
pp. 614-618 ◽  
Author(s):  
Xiao Wang ◽  
Ru Jian Ma ◽  
En Ping Zhang
Keyword(s):  
Wireless Network ◽  
Wireless Mesh Network ◽  
Discrete Data ◽  
Wireless Transmission ◽  
Mesh Network ◽  
Network System ◽  
Remote Transmission ◽  
Wireless Mesh ◽  
Heat Metering ◽  
Set Up

A wireless self-organizing network for heat metering system is designed based on ZigBee in this paper. XBee-Pro module is used for terminal nodes. Such nodes set up wireless mesh network, collecting heating meter data on one hand and realizing remote transmission of data though setting up mesh network with Router and Coordinator. The test is showing that wireless network system based on XBee-Pro module is convenient to use, reliable to transmit data and applies to collect spot discrete data and wireless transmission and meet requirement of heating meter remote transmission, realizing informatization and automation of controlling and monitoring of heating meter system.

scholarly journals PERFORMANCE ANALYSIS AND QOS FRAMEWORK OF FLY WİRELESS NETWORK

2019 ◽  
Vol 01 (02) ◽  
pp. 103-115
Author(s):  
Durai Pandian M
Keyword(s):  
Quality Of Service ◽  
Performance Analysis ◽  
Wireless Network ◽  
Wireless Mesh Network ◽  
Environmental Changes ◽  
Mesh Networks ◽  
Access Point ◽  
Mesh Network ◽  
Wireless Mesh

The spread out of wireless mesh network has made possible the extended range of communication network that are impractical due to environmental changes in a wired access point, these wireless mesh network does not require much competence to set it up as it can be set very fast at a cheap rate, and the conveyancing of messages in it happens by selecting the shortest path, these wireless mesh built-in with irrepressible and invulnerable identities come with an endurance to temporary congestion and individual node failure. This results in an architecture providing a better coverage, flaw indulgent with higher bandwidth compared to other wireless distributed systems. But faces the limitation on power conservation. The battery activated mesh nodes loses their resources on perception, processing and transmission of the data’s, though these batteries or accumulators comes with energy regaining capability still draw backs show up as their nature of energy regaining are unexposed. So the performance analysis of fly wireless network which proposes a uninterrupted wireless mesh networks aims at providing a best measure of performance that is the best quality of service on the meshwork by providing an improved energy gleaning using potency segregation (IGPS) which empowers each node to have self- contained accumulation of energy achieving heightened adaption with energy consumption kept at a minimum. The gross functioning of the proposed is examined on the bases of delay and packet loss to prove the quality of service acquired.

scholarly journals Mobility models for next generation wireless mesh network

2021 ◽  
Vol 22 (1) ◽  
pp. 379
Author(s):  
Tsehay Admassu Assegie ◽  
Tamilarasi Suresh ◽  
R. Subhashni ◽  
Deepika M
Keyword(s):  
Wireless Network ◽  
Wireless Mesh Network ◽  
Local Area Network ◽  
Mobility Model ◽  
Mesh Network ◽  
Area Network ◽  
Mobility Models ◽  
Next Generation ◽  
Test Bed ◽  
Wireless Mesh

<span>Wireless mesh network (WMN) is a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area network (WLAN). Test bed analysis and emulation plays an essential role in valuation of software defined wireless network and node mobility is the prominent feature of next generation software defined wireless network. In this study, the mobility models employed for moving mobile stations in software defined wireless network are explored. Moreover, the importance of mobility model within software defined wireless mesh network for enhancing the performance through handover-based load balancing is analyzed. The mobility models for the next generation software defined wireless network are explored. Furthermore, we have presented the mobility models in the mininet-Wi-Fi test bed, and evaluated the performance of Gauss Marko’s mobility model.</span>

scholarly journals Research on Algorithms of Spatial-Temporal Multi-Channel Allocation Based on the Greedy Algorithm for Wireless Mesh Network

2014 ◽  
Vol 8 (1) ◽  
pp. 690-694
Author(s):  
Yiyong Wang ◽  
David Baker
Keyword(s):  
Wireless Network ◽  
Greedy Algorithm ◽  
Wireless Mesh Network ◽  
Channel Allocation ◽  
Mobile Internet ◽  
Utilization Efficiency ◽  
Mesh Network ◽  
Advantages And Disadvantages ◽  
Wireless Mesh ◽  
The Greedy Algorithm

With the development of mobile Internet and wireless network as well as the rapid increasing number of users, people’s demand for broadband is increasing sharply, making further capacity expansion of the network the major problem for researchers. Wireless Mesh network has the advantages of high network coverage and flexible networking, especially multi-hop wireless network, its important networking format takes full use of the feature of orthogonal channel to raise the throughput of wireless network and utilization efficiency of broadband dramatically and make the channel resources allocation more flexible. This paper points out the advantages and disadvantages of Mesh network by analyzing some relatively classic algorithms based on the research of Mesh network technology in order to increase utilization efficiency of orthogonal channel further. At the same time, it proposes Spatial-Temporal Multi-Channel Allocation Based on the Greedy Algorithm for Wireless Mesh Network which takes the channel allocated in previous slot time into consideration and allocates channels to different ports to reduce the switching time and other costs. Giving the direction of nodes is up stream, it requires well-functioning nodes near the gateway. Any network fault will influence other nodes near these gateways. This allocation realizes the communication between nodes on original channel nodes, increasing utilization efficiency significantly and reducing the burden of parent node. In the end, this paper makes a conclusion of the main work.

scholarly journals The performance of Gauss Markov’s mobility model in emulated software defined wireless mesh network

2020 ◽  
Vol 18 (1) ◽  
pp. 428
Author(s):  
Tsehay Admassu Assegie ◽  
Pramod Sekharan Nair
Keyword(s):  
Wireless Network ◽  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Local Area ◽  
Mesh Network ◽  
Node Mobility ◽  
Mobility Models ◽  
Next Generation ◽  
Test Bed ◽  
Wireless Mesh

Wireless mesh networks (WMNs) are a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area networks (WLANs).Test bed analysis and emulation plays an important role in evaluation of wireless networks and node mobility is the prominent feature of next generation wireless network. In this paper we will focus on the models of wireless station mobility and discuss their importance within the software defined wireless mesh network performance evaluation. The existing mobility models for the next generation software defined wireless network will be explored. Finlay, we will present the mobility models in the mininet-Wi-Fi test bed, and evaluate the performance of the models

Optimasi Algoritma Rate Adaptation Control CARA untuk Meningkatkan Throughput pada Wireless Mesh Network

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Zahrul Maizi ◽  
Teuku Yuliar Arif ◽  
Nasaruddin Nasaruddin
Keyword(s):  
Wireless Network ◽  
Data Transmission ◽  
Control Algorithm ◽  
Wireless Mesh Network ◽  
Rate Adaptation ◽  
Mesh Network ◽  
Transmission Time ◽  
Throughput Optimization ◽  
Optimal Result ◽  
Wireless Mesh

This paper examined throughput optimization issue in wireless mesh network (WMN), the weakest point of this network in regard to this matter.   A number of previous studies on this issue have been conducted, but most focus has been on general wireless network, only few studies so far have attempted on this network. This research aimed to optimize the CARA rate adaptation control algorithm in WMN network. The optimization was performed by adjusting the successtreshold and timeout parameters in the CARA algorithm to obtain an optimal throughput. The optimal result is showed that the optimal points of the success threshold and timeout are at range of 30-35. It is obviously seen in grid 4×5 and 5x5 where the throughput value of the optimization result continues to increase. Moreover, by adding the data transmission time for 100 seconds on grid 5×5 resulting the throughput value of 0.52206412 Mbps and after the optimization the throughput value increases up to 117% to 1.1350768 Mbps, when the success threshold and timeout value are 30. For an additional  150 seconds, the throughput value is 0.5074419333 Mbps and after the optimization the throughput increases up to 120% to 1.1211402 Mbps, when the success threshold and timeout value are 35.

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