scholarly journals False Data Filtering Strategy in Wireless Sensor Network Based on Neighbor Node Monitoring

2017 ◽  
Vol 13 (03) ◽  
pp. 174
Author(s):  
Haishan Zhang ◽  
Xinchun Wang ◽  
Chenghui Jia
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Simulation Experiment ◽  
Wireless Sensor ◽  
Network Node ◽  
Malicious Node ◽  
Data Filtering ◽  
Font Size ◽  
Network Resources ◽  
Intermediate Node

<span style="font-family: 'Times New Roman',serif; font-size: 12pt; mso-fareast-font-family: SimSun; mso-fareast-theme-font: minor-fareast; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;">The injection attack of false data is a common attack form in wireless sensor network. This attack form achieves the purpose of consuming limited network resources and severely threatens the safety of wireless sensor network through consistent sending false data. This paper proposes a type of false data filtering strategy based on neighbor node monitoring. The idea of this strategy is to enable each node to store the neighbor node's information within the two-hop range. In the meantime, the data package determines whether the upstream node is original node or data forwarding intermediate node through whether ACK package is remitted by the upstream node to avoid the impersonation of wireless sensor network node by malicious node. The false data package of malicious node will be filtered within one hop. The simulation experiment verifies the filtering performance and anti-capture performance of this strategy, thus guaranteeing the safety of wireless sensor network.</span>

scholarly journals Method of Wireless Sensor Network Node Deployment for the Emergency Environment

2017 ◽  
Vol 13 (08) ◽  
pp. 163 ◽  
Author(s):  
Liang Ge ◽  
Qin Wang ◽  
Pan Hu ◽  
Ze Hu ◽  
JunBi Liao
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Simulation Experiment ◽  
Emergency Evacuation ◽  
Wireless Sensor ◽  
Network Node ◽  
Practical Application ◽  
Strong Basis ◽  
Node Deployment ◽  
The Core

<p class="0abstract"><span lang="EN-US">Incidents could not always be avoided, resulting in significant losses for the state property and people's safety. Effective monitoring of incidents is becoming more and more important. Wireless sensor networks (WSNs) are widely used in environmental monitoring. On the basis of the existing wireless sensor network node deployment model, a network node deployment model was proposed, which was used in the monitoring of unexpected accidents. The model area was divided into the core area and the evacuation area, and different monitoring nodes deployment plans were applied in different areas. The simulation experiment is carried out by MATLAB, and the simulation results of the node coverage are obtained. Results show that the model for the practical application of the node deployment provides an effective deployment plan, as well as offers a strong basis for real-time monitoring and post-accident emergency evacuation.</span></p>

scholarly journals Study of Wireless Sensor Network Route Based on Improved Ant Colony Algorithm

2016 ◽  
Vol 12 (10) ◽  
pp. 86 ◽  
Author(s):  
Jingyi Bo ◽  
Yubin Wang ◽  
Na Xu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ant Colony Algorithm ◽  
Low Cost ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Font Size ◽  
Energy Equilibrium ◽  
Route Algorithm ◽  
Selection Of

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; -ms-layout-grid-mode: line; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Combining the characteristics of wireless sensor network, the ant colony algorithm is applied to a wireless sensor network, and a wireless sensor network route algorithm based on energy equilibrium is proposed in this paper. This algorithm takes the energy factor into the consideration of selection of route based on probability and enhanced calculation of information so as to find out the optimal route from the source node to the target node with low cost and balanced energy, and it prolongs the life cycle of the whole network</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: SimSun; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">.</span>

scholarly journals An Exploration of Current Data Agglomeration Technique in Wireless Sensor Network

2020 ◽  
Vol 9 (5) ◽  
pp. 732-746
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Base Station ◽  
Current Data ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Communication Process ◽  
Wireless Sensor ◽  
Intermediate Node ◽  
Process Energy

Wireless sensor network plays prominently in various applications of the emerging advanced wireless technology such as smart homes, Commercial, defence sector and modern agriculture for effective communication. There are many issues and challenges involved during the communication process. Energy conservation is the major challenging matter and fascinates issue among the researchers. The reason for that, Wireless sensor network has ‘n’ number of sensor nodes to identify and recognize the data and send that data to the base station or sink through either directly or intermediate node. These nodes with poor energy create intricacy on the data rate or flow and substantially affect the lifespan of a wireless sensor network. To decrease energy utilization the sensor node has to neglect unnecessary received data from the neighbouring nodes prior to send the optimum data to the sink or another device. When a specific target is held in a particular sector, it can be identified by many sensors. To rectify such process this paper present Data agglomeration technique is one of the persuasive techniques in the neglecting unnecessary data and of improves energy efficiency and also it increases the lifetime of WSNs. The efficacious data aggregation paradigm can also decrease traffic in the network. This paper discussed various data agglomeration technique for efficient energy in WSN.

scholarly journals APPROACHES TO DESIGNING A WIRELESS SENSOR NETWORK NODE FOR IOT SOLUTION

2020 ◽  
Author(s):  
Anton Sukov ◽  
◽  
Vyacheslav Olizarenko ◽  
Alexey Zayanchukovsky ◽  
Pavlo Galkin
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Network Node
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