Data Redundancy Implications in Wireless Sensor Networks

Wireless sensor network ( WSN ) is a kind of energy constrained network, by using data fusion technology, the elimination of redundant data, can save energy, prolong the network life purpose. Data fusion in wireless sensor network can realize different protocol layers, Based on the introduction of wireless sensor network and data fusion related knowledge, prove that the arithmetic mean method is effective, and use OPNET software tool for network simulation, finally, analysis results and conclude, verify effects of the arithmetic average fusion algorithm for wireless sensor network. Key words-WSN; Data fusion; Average method; OPNET I. OVERVIEW Wireless sensor network is increasingly paid attention extensively, but its energy Limited is the development, has become a hot research issue. In order to improve the energy utilization rate, many scholars of the data fusion technology of wireless sensor networks with effective combination, the transmission of data and node energy consumption than less energy consumption is corresponding to the data processing, data fusion is used to increase the wireless sensor network data processing to reduce network data transmission, in order to reduce the energy consumption of the whole network, to extend its life cycle. II. WIRELESS SENSOR NETWORK STRUCTURE Sensor nodes of wireless sensor network, from the network topology structure, according to the size of the nodes of wireless sensor networks structure is divided into the plane structure and hierarchical structure of two. When the network of small scale, less nodes, using a planar structure, such as a number of small household sensor network; and when the network is larger, the number of nodes is various, must use the hierarchical structure.

/pdf/research-on-the-wireless-sensor-network-data-fusion-4yqbn1u0eb.pdf

Research on the Wireless sensor Network Data Fusion Technology

Wireless sensor network ( WSN ) is a kind of energy constrained network, by using data fusion technology, the elimination of redundant data, can save energy, prolong the network life purpose. Data fusion in wireless sensor network can realize different protocol layers, Based on the introduction of wireless sensor network and data fusion related knowledge, prove that the arithmetic mean method is effective, and use OPNET software tool for network simulation, finally, analysis results and conclude, verify effects of the arithmetic average fusion algorithm for wireless sensor network.

/pdf/research-on-the-wireless-sensor-network-data-fusion-ry343bes8u.pdf

Research on the Wireless Sensor Network Data Fusion Technology

Because of the special nature of wireless sensor networks, data fusion process is vulnerable to attacks by the destroyer, which is useful for reducing the network communication overhead and improving the data transmission efficiency. Therefore, it is very essential to provide transmission with high security and low energy consumption for sensitive data fusion in wireless sensor network. In this paper, a data fusion algorithm of privacy protection based on Query of Server (Qos) and hierarchical multilayers was put forward, which divided the required privacy protection levels according to different safety requirements, and set up hierarchical network models. In data fusion process, delay constraint was added to guarantee service quality of Qos, and this would reduce energy consumption overhead. Meanwhile, it would guarantee the accuracy of the data and reduce the probability of the whole network information exposed.

https://journals.sagepub.com/doi/pdf/10.1155/2013/926038

Data Fusion Algorithm of Privacy Protection Based on Qos and Multilayers Hierarchically

Wireless sensor network resources are limited, node energy consumption imbalance between sensor nodes, the overall network life cycle shorten. For wireless sensor network energy consumption imbalance of the problems in the process of data collection, proposed a kind of algorithm based on energy equilibrium and efficient data collection. The algorithm of the network deployment area is divided into size grid, and on the basis of the residual energy of nodes and the cluster head rotation, then uses the data fusion technology, can effectively improve the node energy consumption balance and prolong the network lifetime significantly. Simulation and performance analysis results show that compared with the typical data collection algorithms, the algorithm has a better performance in the aspect of balance of energy consumption and the network life cycle.

Ya Qin Fan

Papers

Research on the Wireless sensor Network Data Fusion Technology

Research on the Wireless Sensor Network Data Fusion Technology