scholarly journals Object Tracking Based on (m,k)-firm Model in Multimedia Wireless Sensor Networks

Proceedings ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 46
Author(s):  
Kim ◽  
Kim ◽  
Sung ◽  
Shah ◽  
Chow ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Service Quality ◽  
Object Tracking ◽  
Support Service ◽  
Multimedia Data ◽  
Wireless Sensor ◽  
Current Status ◽  
Network Technology ◽  
Intermediate Node

Object tracking is one of the most promising applications in wireless sensor networks (WSN). However, current scalar based WSN cannot provide diverse object information for type and shape of object. To defeat this problem, multimedia WSN is employed to support various information for the object. When using multimedia, service quality problems naturally arise, which makes it necessary for network technology as to support service quality stably. In this paper, we present real-time network technology for applying (m,k) -firm stream to object tracking in multimedia WSN. The proposed method satisfies the (m,k) -firm requirement of the data transmitted from each sensor node to the sink, and at the same time, aggregates the multimedia data to compensate the technology at intermediate node. In addition, according to current status, adaptive QoS routing protocol chooses the path to satisfy the new (m,k)-firm for users. Finally, simulation result is given to prove the suitability of the proposed scheme by presenting stream dynamic failure ratio value for the (m,k)-firm stream.

scholarly journals A Generic Algorithm to Determine Maximum Bottleneck Node Weight-based Data Gathering Trees for Wireless Sensor Networks

2015 ◽  
Vol 7 (3) ◽  
pp. 18 ◽  
Author(s):  
Natarajan Meghanathan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Leaf Node ◽  
Wireless Sensor ◽  
Generic Algorithm ◽  
Intermediate Node ◽  
Root Node ◽  
Bottleneck Node ◽  
Node Weight

We propose a generic algorithm to determine maximum bottleneck node weight-based data gathering (MaxBNW-DG) trees for wireless sensor networks (WSNs) and compare the performance of the MaxBNW-DG trees with those of maximum and minimum link weight-based data gathering trees (MaxLW-DG and MinLW-DG trees). Assuming each node in a WSN graph has a weight, the bottleneck weight for the path from a node u to the root node of the DG tree is the minimum of the node weights on the path (inclusive of the weights of the end nodes). The MaxBNW-DG tree algorithm determines a DG tree such that each node has a path of the largest bottleneck weight to the root node. We observe the MaxBNW-DG trees to incur lower height, larger percentage of nodes as leaf nodes and a larger weight per intermediate node compared to the leaf node; the tradeoff being a larger a network-wide data aggregation delay due to larger number of child nodes per intermediate node. The MaxBNW-DG algorithm could be used to determine DG trees with larger trust score, larger energy (and other such criterion for node weight) per intermediate node compared to the leaf node. 

Study of Data Fusion Mechanism Based on the WSN

2013 ◽  
Vol 321-324 ◽  
pp. 600-603
Author(s):  
Wei Liu ◽  
Qin Sheng Du ◽  
Le Le Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Fusion ◽  
Wireless Sensor ◽  
Network Technology ◽  
Fusion Method ◽  
Simulation Test ◽  
Embedded Computing ◽  
New Type

Wireless sensor networks integrated four technologies including sensor, embedded computing, network technology and wireless communication. It is a new type of non-infrastructure wireless network. In this paper, a data fusion method has been brought forward based on wireless sensor networks, and through an algorithm simulation test, It is proved that the algorithm is effective to reduce the energy consumption of the network, and extend the lifetime of the network.

scholarly journals Differentiated Service Model-Supported Cluster-Based Routing in Wireless Sensor Networks

2020 ◽  
Vol 3 ◽  
pp. 1-9
Author(s):  
Jayashree Agarkhed ◽  
Patil Yogita Dattatraya ◽  
Siddarama R. Patil
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Multimedia Data ◽  
Wireless Sensor ◽  
Differentiated Service ◽  
Healthcare Applications ◽  
Network Failure ◽  
Critical Data ◽  
Cluster Based Routing ◽  
Time Critical

Wireless Sensor Network finds its extensive use in healthcare applications for the transfer of time-critical data through wireless connectivity. The primary cause of network failure is the transfer of time-critical multimedia data. The article presents a new differentiated service modelsupported (DSM) cluster-based routing in wireless sensor networks (WSNs) that overcomes the above issue. DSM prioritizes the transfer of different flow types based on packet type and packet size. The employment of computational offloading minimizes delay for critical and small-sized data packets and by carrying out data reduction of large-sized packets at proxy server. It outperforms the existing protocols in terms of energy efficiency, throughput, and reliability by prioritizing the transfer of time-critical health application data

Multimedia Transmission in Wireless Sensor Networks

2016 ◽  
pp. 230-248
Author(s):  
Daniel G. Costa ◽  
Luiz Affonso Guedes ◽  
Francisco Vasques ◽  
Paulo Portugal
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Weather Forecasting ◽  
Multimedia Data ◽  
Wireless Sensor ◽  
Target Area ◽  
Wireless Multimedia ◽  
Multimedia Transmission ◽  
Monitoring And Control ◽  
Multimedia Sensor Networks

Wireless sensor networks are an emerging technology that can provide valuable information for a large series of monitoring and control applications. Comprising many monitoring scenarios with different particularities, as industrial management, weather forecasting, home automation, traffic management and rescue operations, just to cite a few, wireless sensor networks bring many possibilities for innovative applications that cannot be addressed by conventional wireless network technologies. When sensors are equipped with cameras or microphones, multimedia data can be retrieved from the monitored field, enriching the perception of the target area. However, the constrained nature of wireless sensor networks imposes many challenges to multimedia transmission, fostering development of optimized protocols. In this chapter, we present the state of the art of multimedia transmission in wireless sensor networks, covering topics as routing, error control, congestion avoidance, real-time delivery, compression and QoS, potentially supporting in the development of wireless multimedia sensor networks.

scholarly journals Object tracking through RSSI measurements in wireless sensor networks

2008 ◽  
Vol 44 (10) ◽  
pp. 653 ◽  
Author(s):  
F. Viani ◽  
L. Lizzi ◽  
P. Rocca ◽  
M. Benedetti ◽  
M. Donelli ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Object Tracking ◽  
Wireless Sensor

The Design of Wireless Sensor Networks and Data Analysis in Smart Grids

2014 ◽  
Vol 978 ◽  
pp. 257-260
Author(s):  
Ying Zhao ◽  
Ru Kun Li ◽  
Kun Le Xu
Keyword(s):  
Wireless Sensor Networks ◽  
Data Analysis ◽  
Sensor Networks ◽  
Communication Technology ◽  
Smart Grids ◽  
Wireless Sensor ◽  
Current Status ◽  
Sensing Technology ◽  
Close Relationship ◽  
Technology And Communication

Smart grids have a close relationship to advanced sensing technology and communication technology and also have provided a new application platform for wireless sensor networks. From wireless sensor networks research development and characteristics, combined with current status of wireless sensor networks applications in power system, this paper describes its key technologies of wireless sensor networks, then analyze applications and data analysis of the wireless sensor network in the smart grids.

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