Study the Impact of Houseplant in Purification of Environment Using Wireless Sensor Network

2018 ◽  
Author(s):  
Kalpana K ◽  
M. S. Zambare
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
The Impact

scholarly journals A Localization Algorithm of Wireless Sensor Network Based on Statistical Uncorrelated Vector

2017 ◽  
Vol 13 (07) ◽  
pp. 57
Author(s):  
Min Wang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Inner Product ◽  
Localization Algorithm ◽  
Product Matrix ◽  
Ranging Error ◽  
Location Algorithm ◽  
The Impact

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">For exploring wireless sensor network - a self-organized network, a new node location algorithm based on statistical uncorrelated vector (SUV) model, namely SUV location algorithm, is proposed. The algorithm, by translating the node coordinate, simplifies the solution to double center coordinate matrix, and gets the coordinate inner product matrix; then it uses statistical uncorrelated vectors to reconstruct the coordinates of the inner product matrix and remove the correlation of inner matrix of coordinates caused by the ranging error, so as to reduce the impact of ranging error on subsequent positioning accuracy. The experimental results show that the proposed algorithm does not consider the network traffic, bust still has good performance in localization. At last, it is concluded that reducing the amount of communication of sensor nodes is beneficial to prolong the service life of the sensor nodes, thus increasing the lifetime of the whole network.</span>

scholarly journals EVALUASI PERBANDINGAN PERFORMA JARINGAN WIRELESS SENSOR NETWORK DALAM SERANGAN SYBIL ATTACK DAN HELLO FLOOD ATTACK

Repositor ◽  
2020 ◽  
Vol 2 (8) ◽  
Author(s):  
Hawwin Purnama Akbar ◽  
Diah Risqiwati ◽  
Diah Risqiwati
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ad Hoc ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Network Technology ◽  
Sybil Attack ◽  
Packet Delivery ◽  
The Impact ◽  
Hello Flood

Perkembangan ilmu pengetahuan pada bidang teknologi jaringan terjadi sangat cepat karena mengikuti perkembangan kebutuhan manusia. Salah satu teknologi jaringan yang saat ini menarik perhatian masyarakat adalah teknologi Wireless Sensor Network(WSN). WSN adalah jaringan dari kumpulan sensor yang terhubung menggunakan teknologi wireless secara ad-hoc dan setiap sensor node digunakan untuk proses pengumpulan data dan menghubungkan dengan node yang lain melalui jaringan wireless.Karena pada kebanyakan kasus aplikasi WSN digunakan pada lingkungan yang ekstrem dan sensor node harus dapat beroperasi secara otomatis tanpa campur tangan manusia, jaringan ini menjadi rentan akan beberapa ancaman jaringan dan dapat mempengaruhi performa dari jaringannya. Terdapat berbagai macam jenis serangan yang dapat membahayakan jaringan wireless sensor network diantaranya yang paling umum adalah sybil attack dan hello flood attack.            Dalam penelitian ini, penulis meneliti performa WSN saat diserang oleh Sybil attack dan hello flood attack dengan cara mengukur throughput, PDR(packet delivery ratio), jitter dan delay dalam jaringan WSN. Penelitian ini juga menganalisa jumlah node yang bervariasi dari 10 node sampai 30 node dengan waktu simulasi dari 10 detik sampai 30 detik lalu dianalisa jaringan ketika jaringan normal dan diserang oleh node penyerang yang bervariasi dari 1 sampai 3 penyerang. Dengan melakukan analisa tersebut, diperoleh data berupa perbandingan dampak serangan dari Sybil attack dan hello flood attack. Dampak dari sybil attack lebih berpengaruh pada parameter throughput dan pdr yang mengalami penurunan nilai hingga 69,9% untuk pdr dan 56,4% untuk throughput. Sedangkan dampak dari hello flood attack lebih berpengaruh pada parameter delay dan jitter yang mengalami kenaikandari nilai semula 0,05 detik menjadi 0,576 detikuntuk delay dan 0,579 detik untuk jitter.AbstractThe development of science in the field of network technology occurs very quickly because it follows the development of human needs. One of the network technology that is currently attracting public attention is wireless sensor network technology (WSN). WSN is a network of connected sensors using ad-hoc wireless technology and each node sensor are used to process data collection and connect with other nodes over a wireless network. Because in most cases WSN applications are used in extreme environments and node sensors must operate automatically without human intervention, these networks become vulnerable to some network threats and may affect the performance of their networks. There are various types of attacks that can harm wireless sensor network network among the most common is sybil attack and hello flood attack.             In this study, authors examined the performance of WSN when attacked by Sybil attack and hello flood attack by measuring throughput, PDR (packet delivery ratio), jitter and delay in WSN network. This study also analyzed the number of nodes that varied from 10 nodes to 30 nodes with simulated time from 10 seconds to 30 seconds and then analyzed the network when the network was normal and attacked by the attacking nodes that varied from 1 to 3 attackers. By doing the analysis, the datacan be obtained in the form of comparison of the impact of attacks from Sybil attack and hello flood attack. The impact of the sybil attack is more influential on the parameters of throughput and pdr which has decreased the maximum value up to 69.9% for pdr and 56.4% for throughput. While the impact of hello flood attack ismore influential on the delay and jitter parameters that increased from the original value of 0.05 seconds to 0.576 seconds for delay and 0.579 seconds for jitter. 

Wireless Sensor Network Technology and Its Application Potentials for Service Innovation in Supply Chain Management

2010 ◽  
Vol 1 (4) ◽  
pp. 30-51 ◽  
Author(s):  
Gong Li ◽  
Jing Shi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Information Technologies ◽  
Service Innovation ◽  
Wireless Sensor ◽  
Network Technology ◽  
Chain Management ◽  
The Impact

The growing awareness of the strategic value of service along with higher product performance expectations has directed many industries to adopt service centric competitive strategies in managing their supply chains. Service innovation based on currently available advanced technologies has become critical in improving enterprises’ competitive strengths. Wireless sensor network (WSN) technology, which can provide a mobile, scalable, and reliable monitoring solution, is emerging as a tool for service innovation in supply chain management. This paper provides an overview of wireless sensor network technology and discusses how it can benefit modern industries. The fundamental theories of WSN are introduced as well as an overview of the development. The impact of information technologies on supply chain management and service innovation is then briefly discussed. Much emphasis is placed on the feasibility, procedures, and critical challenges of implementing WSN in supply chain management innovation. Current and future applications of WSN are also provided, followed by a case study demonstrating the application potentials of WSN for service innovation in the healthcare industry.

scholarly journals A Technical and Business Perspective on Wireless Sensor Network for Manufacturing Execution System

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Wei Xu ◽  
Zhixin Yang ◽  
Xianbo Wang
Keyword(s):  
Supply Chain ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Stackelberg Games ◽  
Chain Model ◽  
Manufacturing Execution System ◽  
Business Perspective ◽  
The Impact ◽  
Manufacturing Execution

Motivated by the complex production management with difficulties in error-prone assembly system and inaccurate supply chain inventory, this paper designs a novel manufacturing execution system (MES) architecture for intelligent monitoring based on wireless sensor network (WSN). The technical perspective includes analysis on the proposed manufacturing resource mutual inductance method under active sensing network, appreciation technology of multisource information, and dynamic optimization technology for manufacturing execution processes. From business perspective, this paper elaborates the impact of RFID investment on complex product by establishing a three-stage supply chain model that involves two suppliers carrying out Stackelberg games (manufacturer and retailer). The optimal cost threshold values of technology investment are examined for both the centralized and the decentralized scenarios utilizing quantitative modeling methods. By analyzing and comparing the optimal profit with or without investment on WSN, this paper establishes a supply chain coordination and boosting model. The results of this paper have contributed significantly for one to make decision on whether RFID should be adopted among its members in supply chain. The system performance and model extension are verified via numerical analyses.

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