scholarly journals Optimization Research of Artificial Intelligence and Wireless Sensor Networks in Smart Pension

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Liqing Li ◽  
Linli Jiang ◽  
Zixuan Liu
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
The Elderly ◽  
Wireless Sensor ◽  
Existing Problems ◽  
Improvement Measures ◽  
Elderly Health

As a new generation of information technology, artificial intelligence and wireless sensor network are of great significance in promoting the development of “smart pension” and improving the quality of life of the elderly. This paper expounds the application of existing relevant artificial intelligence and wireless sensor network in smart pension, including the daily life of the elderly, health care, and spiritual comfort. This study further puts forward corresponding improvement measures for the existing problems in order to provide ideas for the application of wireless sensor network in smart pension and improve the quality of life of the elderly.

scholarly journals Performance metrics in wireless sensor networks :a survey and outlook

2018 ◽  
Vol 7 (2.26) ◽  
pp. 25
Author(s):  
E Ramya ◽  
R Gobinath
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Resource Constraints ◽  
Sensor Data ◽  
Wireless Sensor

Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations. 

Analyzing And Improving Quality Of Sensing In Wireless Sensor Network

2019 ◽  
Author(s):  
Edwin F. Palacios Melendez ◽  
Luis O. Philco Asqui ◽  
Luis S. Cordova ◽  
Tomas G. Bastidas Cabrera ◽  
Miguel A. Franco Bayas
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor

scholarly journals Quality based drip drag match data collection in wireless sensor network

2017 ◽  
Vol 7 (1.1) ◽  
pp. 426
Author(s):  
V Jayaraj ◽  
S Alonshia
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Data Loss ◽  
Quality Of Data ◽  
Deterministic Models ◽  
Multiple Data

Although data collection has received much attention by effectively minimizing delay, computational complexity and increasing the total data transmitted, the transience of sensor nodes for multiple data collection of sensed node in wireless sensor network (WSN) renders quality of service a great challenge. To circumvent transience of sensor nodes for multiple data collection, Quality based Drip-Drag-Match Data Collection (QDDM-DC) scheme have been proposed. In Drip-Drag-Match data collection scheme, initially dripping of data is done on the sink by applying Equidistant-based Optimum Communication Path from the sensor nodes which reduces the data loss. Next the drag operation pulls out the required sensed data using Neighbourhood-based model from multiple locations to reduce the delay for storage. Finally, the matching operation, compares the sensed data received by the dragging operation to that of the corresponding sender sensor node (drip stage) and stores the sensed data accurately which in turn improves the throughput and quality of data collection. Simulation is carried for the QDDM-DC scheme with multiple scenarios (size of data, number of sinks, storage capacity) in WSN with both random and deterministic models. Simulation results show that QDDM-DC provides better performance than other data collection schemes, especially with high throughput, ensuring minimum delay and data loss for effective multiple data collection of sensed data in WSN.

A dynamic technique to enhance quality of service in software-defined network-based wireless sensor network (DTEQT) using machine learning

2019 ◽  
Vol 18 (01) ◽  
pp. 1941020
Author(s):  
S. Ananth ◽  
A. M. Kalpana ◽  
R. Vijayarajeswari
Keyword(s):  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Dynamic Networks ◽  
Dynamic Network ◽  
Wireless Sensor ◽  
Software Defined Network ◽  
Mobile Nodes ◽  
Energy Constrained

Wireless Sensor Network (WSN) is the interconnection between things or objects embedded with hardware and software. In WSN, small end devices (like sensors) and high end devices (like servers) are connected to the Internet. For WSN enabled in Software-Defined Network (SDN), the routers are controlled using a controller server node. It is a dynamic network due to the presence of mobile nodes and energy constrained nodes. The routing is the process of detecting route from source to target. In dynamic networks like WSN, routing is a challengeable task. This paper is to provide a routing solution for backboneless SDN-enabled WSN. The proposed work enhances routing Quality of Service (QoS) in WSN. The paths are dynamically reallocated to reduce the packet loss.

Research on AODV Routing Protocol Optimization in Wireless Sensor Network

2011 ◽  
Vol 467-469 ◽  
pp. 325-330
Author(s):  
Feng Tian ◽  
Li Lei Fan ◽  
Xiao Ping Sun ◽  
Ai Min Yao ◽  
Hua Yan Liu
Keyword(s):  
Wireless Sensor Network ◽  
Energy Balance ◽  
Sensor Network ◽  
Routing Protocol ◽  
Lower Cost ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Routing Strategy ◽  
Aodv Routing Protocol

Energy balance of nodes in wireless sensor network is a difficult point. In this paper, analyze the performance of AODV routing protocol applied to the coal mine WSN environment which has less mobile nodes. Base on its characteristic of lacking of energy efficiency and optimal route selection considerations, an improvement of AODV routing protocol is carried out. Route discovery phase of the algorithm use a cost metric routing strategy, according to the energy level of nodes and the quality of links to calculate the routing cost, lower cost routing path will be selected. Between efficient routing and energy balance make an effective trade-off, improve the delivery rate of the network.

A Survey on Coverage Control Technology in Wireless Sensor Network

2013 ◽  
Vol 774-776 ◽  
pp. 1556-1559 ◽  
Author(s):  
Kai Guo Qian ◽  
Li Mui ◽  
Tian Ma Zuo ◽  
Zhi Qiang Xu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Research Literature ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Coverage Problem ◽  
Research Directions ◽  
And Control ◽  
Monitoring Area

Deployment and coverage, studied how to effectively place and control of sensor nodes and to make WSN covered the monitoring area with the purpose of minimum the energy consumption and prolonging the network life cycle under the premise of guarantee the quality of service (QOS),are the primary problems for construction wireless sensor network. This paper analyzes important factors for resolve the coverage problem such as sensing models and deployment way, followed survey the state-of-the art coverage contro1 techniques and presents an overview and analysis of the solution proposed in recent research literature, Further research directions are pointed out in the end.

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