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The existing privacy-preserving data aggregation methods in wireless sensor networks (WSNs) generally rely on a network infrastructure, and data privacy is achieved by encryption techniques. However, such an infrastructure is very susceptible to the dynamic network topologies, and excessive encryption process causes a high energy consumption and re-duces the accuracy of the aggregation results. In...
Reliable and trustful data aggregation is needed for most application in Wireless Sensor Networks. In this paper, we propose a new approach to attain data and key privacy protection in data aggregation called Preserving Data and Key Privacy in Data Aggregation for Wireless Sensor Networks (PDKP).Existing privacy preserving protocol provide more computational and communicational overhead in the sensor...
To perform some operation there is a need of some amount of energy over the node is same to the sending the single bit of data in the network. Data transportation reduces the network lifetime when sending data in sensor network. So the need to reduce the energy consumption for improving the network lifetime. As cluster head is aggregator node of the cluster it can take part in communication many times...
The in-network data aggregation along with the end to end encryption is very important in resource constrained wireless sensor networks, as it provides an accurate and robust information to the base station by reducing the energy consumption and achieves secure data aggregation. The Concealed Data Aggregation (CDA) techniques achieve these two together. The cryptographic algorithms based on Privacy...
The rapid production, huge increasing features and capabilities of mobile sensing devices such as smart phones increases usage of variety of mobile sensing application. As WSN is having huge coverage area, data is collected from multiple mobile users. For this huge amount of data, statistics needs to be periodically updated for applications such as population monitoring, temperature monitoring and...
The reliability of Wireless Sensor Networks (WSNs) is affected by faults that may occur due to various reasons such as communication link failure, malfunctioning hardware, software glitches, dislocation or environmental hazards. A WSN that is not prepared to deal with such situations may suffer from a reduction in network lifetime or lead to hazardous consequences in critical application contexts...
Wireless sensor networks are very popular now a days. They affect each and every aspect of our life. Most important use of sensor node is in Defense areas. Data transfer in Defense areas are very crucial issue in Defense. Sensor nodes are ad-hoc network consists of very small devices having limited energy and capacity with fixed transmission power. Recharging cost of these sensor nodes is very high...
Wireless sensor networks (WSNs) consist of a great deal of sensor nodes with limited power, computation, storage, sensing and communication capabilities. Data aggregation is a very important technique, which is designed to substantially reduce the communication overhead and energy expenditure of sensor node during the process of data collection in a WSNs. However, privacy-preservation is more challenging...
Data aggregation is a widely used technique in wireless sensor networks to reduce the power consumed in WSN. In a bid to reduce the power consumption during data gathering, cluster heads are elected to gather data from every node in the WSN. There are various challenges that are involved in the process of data aggregation like checking of duplication of data after encryption, overhead due to encryption...
Data aggregation in Wireless Sensor Network refers to acquiring the sensed data from the sensors to the gateway node. Data aggregation scheme minimize a large amount of transmission data to the base station, so that improve the energy efficiency and prolong the wireless network lifetime. CDAMA is designed by using multiple points, each of which has different order. It is designed for a multi-application...
Recently there has been an exponential rise in the use of Wireless Sensor Networks (WSNs) in various applications. While WSNs have been primarily used as independent networks, researchers are now looking into ways of integrating them with other existing networks. One such network is the satellite network which provides a reliable communication backbone to remote areas that lack appropriate terrestrial...
In this paper, we propose a new privacy preserving data aggregation scheme for WSNs. Our scheme applies additive property of complex numbers in order to combine sensor data and preserve data privacy during transmission to the sink node. In addition, for supporting scalability, we propose a novel mechanism in which a special set of real numbers are assigned to sensor nodes as their IDs so that a single...
A sink node must be aware of the identifications (node IDs) of those all sensor nodes which contribute in aggregated value of sensors data in order to derive exact result of them in privacy preserving data aggregation scheme for wireless sensor networks (WSNs). This is possible only when if there exists such a scheme which can transmit IDs of all the participating sensor nodes to the sink node. But,...
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