scholarly journals Kinerja Jaringan Sensor Nirkabel untuk Model Smart Building

2021 ◽  
Vol 20 (2) ◽  
pp. 211
Author(s):  
I Made Sastra Dwikiarta ◽  
Nyoman Putra Sastra ◽  
Dewa Made Wiharta
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Ieee 802.15.4 ◽  
Hybrid Network ◽  
Smart Building

Penggunaan energi pada jaringan sensor nirkabel saat ini bisa dikatakan sangat boros, sehingga dibutuhkan sebuah metode komputasi pada teknologi Internet of Things (IoT)  dengan sumber yang terbatas. Konsep penggunaan energi pada IoT perlu diawasi dan dikelola supaya terdapat peningkatan efisensi penggunaan energi sehingga dapat menekan biaya tanpa harus mengurangi kinerjanya. Dalam penelitian ini dibuatlah sebuah prototype sistem kontrol penggunaan energi pada IoT yang nantinya digunakan untuk model Smart Building dalam upaya penghematan energi. Konsep prototipe yang dibuat adalah hybrid network. Pada prototipe digunakan beberapa sensor berfungsi untuk membaca, mengontrol, dan mengirimkan informasi secara realtime dengan protokol zigbee IEEE 802.15.4 dan Wi-Fi ESP8266-01. Model ini diamati dan dianalisis konsumsi energi dan Quality of Service (QoS) transmisi pengiriman data dengan metode clustering. Kinerja pada jaringan bekerja dengan baik dilihat dari kondisi pada lingkungan indoor maupun outdoor. Pengujian konsumsi energi seluruh proses pengiriman data sensor yaitu 0.32 Watt sampai dengan 0.64 Watt dalam waktu 10 Menit, dapat dikatakan komunikasi jaringan pada pengembangan hybrid network ini mengonsumsi energi yang sangat rendah. Total durasi waktu pengujian dengan baterai 12 Volt hingga batas tegangan minimum didapatkan 70 Menit dan tegangan minimal mencapai 7 Volt.

scholarly journals A Multi Objective Particle Swarm Optimization for Wireless Sensor Networks and Routing Security

2020 ◽  
Vol 9 (7) ◽  
pp. 1132-1136
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Wireless Sensor ◽  
Service Network ◽  
Swarm Optimization ◽  
Routing Security ◽  
Wireless Service ◽  
Node Clustering ◽  
Selection Of

WSN stands for Wireless Sensor Network it is an prefect models of the IoT or Internet of Things that gives checking administrations to catastrophic events, for example, volcanoes ejection and seismic tremor which can influence the life of person. All things considered, the QoS or Quality-of-Service it is a significant problem of the basic application so that it is adequate as well as heartiness is guaranteed. Other than this without a doubt administrations and commitments in checking frameworks, WSN's restricted assets can seriously corrupt the Quality-of-Service in the application of Internet of Things. There will be a decrease in the Quality-of-Service because of the blockage in the wireless service network in the application. For these situtations proficient utilization for the rare assets might be critical for guaranteeing consistent tramission of the information. Decreasing pace in the retransmission of the parcel that occurs due to the blockage diminishes sensor hubs power utilization. PDNC also known as Packet Discarding based Node Clustering that is a specific bundle disposing of technique is presented in this research paper. Every hubs conveyed will be bunched to a few gatherings that focuses on the zone and at once selection of a group head will be done. Parcel disposing of procedure will at that point be conveyed at every hub to diminish the quantity of bundles adding to blockage. Reenactment examination utilizing NS-2 demonstrates that the proposed method can lessen blockage along these lines improve the general execution.

scholarly journals Rancang Bangun Smart Home System Menggunakan NodeMCU Esp8266 Berbasis Komunikasi Telegram Messenger

Techno Com ◽  
2019 ◽  
Vol 18 (4) ◽  
pp. 348-360 ◽  
Author(s):  
Peby Wahyu Purnawan ◽  
Yuni Rosita
Keyword(s):  
Quality Of Service ◽  
User Interface ◽  
Internet Of Things ◽  
Smart Home ◽  
Client Server

Smart Home System bertujuan memaksimalkan pengawasan, pemantauan, keamanan dan sebagainya. sistem ini terintegrasi dari telekomunikasi dan sistem pengendali dari mikrokontroller, sehingga  tercipta Internet Of Things. Pada Penelitian ini dilakukan perancangan sistem Smart Home, dengan sistem client-server berbasis NodeMCU ESP8266 v3 dengan user interface Telegram Messenger yang melakukan komunikasi data melalui wireless. Tahapan perancangan terdiri dari perancangan server, interface, serta sistem kendali Smart Home nya. Hasil akhir pengujian tersebut dapat disimpulkan Aplikasi Telegram Messenger sangat cocok untuk pengontrol dan monitoring Smart Home  jarak jauh, berdasarkan Jarak yang diukur dari 1,7 km sampai 151 km area beda wilayah didapatkan delay rata-rata 20,66 detik, Pada pengujian kinerja Quality of Service dalam sistem komunikasi data ini, berdasarakan standarisasi paramater hasil pengujian bekerja dengan sangat baik. Pada  pengujian nilai RSSI indoor didapat bahwa  kekuatan  komunikasi  wireless  lebih  baik  dibanding outdoor, sehingga RSSI nya lebih kuat. Nilai RSSI  yang tertinggi berada pada -28 dBm dan yang terkecil pada -88 dBm. Berdasarkan pengujian terhadap obstacle, dengan karakteristik redaman yang berbeda - beda dari tiap obstacle nya menghasilkan pengaruh terhadap RSSI dari sinyal wirelessnya.  Obstacle RSSI terkuat dihasilkan oleh pintu kayu dengan nilai -33dbm dBm , serta RSSI terkecil pada obstacle 2 bangunan rumah dengan nilai -78 dBm.  

Performance Evaluation of Quality of Service in IEEE 802.15.4-Based Wireless Sensor Networks

2017 ◽  
pp. 213-248 ◽  
Author(s):  
Sanatan Mohanty ◽  
Sarat Kumar Patra
Keyword(s):  
Quality Of Service ◽  
Performance Evaluation ◽  
Ieee 802.15.4 ◽  
Resource Constraints ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Mesh Topology ◽  
Autonomous Sensor

Wireless Sensor Network (WSN) consists of many tiny, autonomous sensor nodes capable of sensing, computation and communication. The main objective of IEEE 802.15.4 based WSN standard is to provide low cost, low power and short range communication. Providing QoS in WSN is a challenging task due to its severe resource constraints in terms of energy, network bandwidth, memory, and CPU. In this chapter, Quality of Service (QoS) performance evaluation has been carried out for IEEE 802.15.4 networks based WSN star and mesh topology using routing protocols like AODV, DSR and DYMO in QualNet 4.5 simulator. Performance evaluations metrics like Packet Delivery Ratio (PDR), throughput, average end to end delay, energy per goodput bit, network lifetime of battery model and total energy consumption which includes transmission, reception, idle and sleep mode were considered for both the topology. From the simulation studies and analysis, it can be seen that on an average DSR and DYMO performs better than AODV for different traffic load rates.

Mathematical Representation of Quality of Service (QoS) Parameters for Internet of Things (IoT)

2020 ◽  
pp. 364-376
Author(s):  
Sandesh Mahamure ◽  
Poonam N. Railkar ◽  
Parikshit N. Mahalle
Keyword(s):  
Mathematical Model ◽  
Quality Of Service ◽  
Internet Of Things ◽  
Gap Analysis ◽  
Literature Survey ◽  
Mathematical Representation ◽  
The World ◽  
Qos Parameters ◽  
The Mathematical Model

Now we are in the era of ubiquitous computing. Internet of things (IoT) is getting matured in various parts of the world. In coming few years' billions and trillions of things will be connected to the internet. To deal with these huge number of devices in a network we need to consider Quality of Service (QoS)parameters so that system operations can be performed in a smoother way. Mathematical modelling of these QoS parameters gives an idea about which factors are needs to consider while designing any IoT-enabled system at the same time it will give the performance analysis of the system before implementation. In this paper comprehensive literature survey is done to discuss various issues related to QoS and gap analysis is also done for IoT Enabled systems. This paper proposes general steps to build a mathematical model for a system. It also proposes the mathematical model for QoS parameters like reliability, communication complexities, latency and aggregation of data for IoT. To support proposed mathematical model proof of concept also given.

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