An Event-Driven Clustering Scheme for Data Aggregation in Real-Time Wireless Sensor Networks

2013 ◽  
Author(s):  
B. Abid ◽  
W. Elghazel ◽  
H. Seba ◽  
S. Mbengue
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Event Driven

A Survey - Confrontation with Data Aggregation in Wireless Sensor Networks

2017 ◽  
Vol 9 (02) ◽  
pp. 119-124
Author(s):  
Jitendra Bahadur Singh ◽  
R. C. Tripathi
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Real Time ◽  
Sensor Network ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Research Challenges ◽  
Real Time Application

The main objective to use wireless sensor network (WSN) is to collect data across various nodes and send the collected data to sink for processing. This is typically the scenario in any real-time application of WSN. In this paper, the authors review various existing methods in data aggregation, list out the research challenges faced by the researchers and propose solutions for each method.

Ant Colony Based Data Aggregation in Real Time Wireless Sensor Networks

2019 ◽  
Vol 16 (9) ◽  
pp. 3802-3807 ◽  
Author(s):  
Anuj Kumar Jain ◽  
Sandip Goel ◽  
Devendra Prasad ◽  
Avinash Sharma
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Data Aggregation ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Natural Phenomenon ◽  
Power Sources ◽  
Network Latency ◽  
Aggregation Technique

Sensing the natural phenomenon, sensing the eventual activities, sensing the abrupt change in human developed systems has a wide number of applications. To sense, one needs the tiny sensor devices called sensor nodes. To collect the data from these devices, one has to arrange these tiny devices into a intelligently managed network, called as sensor networks. Due to mostly unattended application areas and zones, these devices are supposed to be wireless which adds one more dimension to our discussion, known as wireless sensor networks. So basically these are an intelligent arrangement of small, tiny sensing devices with wide array of attributes, namely, sensing ability, low communication range mechanism, limited power sources, small processing ability, small memory. With these limitations, even handling a small data generated/sensed in the network becomes crucial to handle. Therefore there has to be an effective data aggregation technique. The prime goal of any data aggregation algorithms is to collect/retrieve/gather the data in an efficient possible way so that the effort to communicate the data over the network can be reduced. Less work from the network means less energy dissipated, thus lifetime can be enhanced. An effective data aggregation technique reduces the latency also. Small network latency is crucial for time critical applications in real time wireless sensor networks. Ant colony based optimization provides us such a possibility to find an optimal route for efficient data aggregation with significantly reduced network latency. In our work, Ant colony based Data Aggregation in Real Time wireless sensor networks (ACDAR), Ants use their pheromones to establish a new path or follow already established path by other ants. Similarly data packets in wireless sensor networks can take advantage of freshly established paths by Route Ants. As the results received, it is verified that number of packets successfully delivered to the sink have increased and the miss ratio, cumulative packets consumption have improved, network latency has decreased.

Analytical Model of Wireless Sensor Networks Based on Data Aggregation for Debris Flow Monitoring System

2014 ◽  
Vol 536-537 ◽  
pp. 314-319
Author(s):  
Nan Chen ◽  
Jing Fan ◽  
Min Min Xiang ◽  
Jin Shuai Qu
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Debris Flow ◽  
Real Time ◽  
Network Topology ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Time Data ◽  
Flow Monitoring

In view of debris flow monitoring for complicated mountainous terrain, network topology is impacted by environmental change, this paper designing a structure-free network topology to enhance network robustness. While applying the weighted resampling algorithm, to avoid monitoring data loss, make sure fairness transmission sensor nodes. To solve the problem of energy consumption and the time delay in wireless sensor networks, a real-time data aggregation algorithm proposed to reduce the redundant information transmission, to improve the energy efficiency. The simulation results show that adopted the network model of data aggregation is effective in reducing the energy consumption and improves the quality of network communication, while meeting the requirements of real-time monitoring.

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