The hierarchical routing protocols based on clusters rely fundamentally on their CHs for data aggregation and routing. They are vulnerable to several attacks, such as Hello flood, Selective forwarding, replay, etc; attacks involving CH are the most damaging. If a malicious node managed to become a CH, it can launch attacks to disrupt the network operation. Note that, the malicious node can choo...

the prime objective of deploying largescale wireless sensor networks is to collect information from to control systems associated with these networks. Wireless sensor networks are widely used in application domains such as security and inspection, environmental monitoring, warfare, and other situations especially where immediate responses are required such as disasters and medical emergency. Wh...

Wireless sensor networks have been used widely in many application fields, whereas such applications as battlefield information obtaining, disaster survivor rescuing, etc. need an immediate and fast route that is simultaneously secure and energy-efficient. In this paper, by constructing a neighbor table, we build a tree-structure route that can meet all the above requirements for the large-size...

Data aggregation is one of the basic concepts of sensor networks. The idea of data aggregation, or data fusion, is to combine data from different sensors in a way that eliminates redundant transmissions. This is done to prolong sensor network lifetime. In their article “Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks” Kalpakis, Dasgupta and N...

When sensor nodes are organized in clusters, they could use either single hop or multi-hop mode of communication to send their data to their respective cluster heads. We present a systematic cost-based analysis of both the modes, and provide results that could serve as guidelines to decide which mode should be used for given settings. We determine closed form expressions for the required number...

One application of aggregation is decentralized network size estimation algorithms. Systems, such as Skype, estimate the number of active users by centralized algorithms, enacting a high demand on central resources and creating single points of failure. Aggregation introduces scalable decentralized algorithms that allow counting (or summing in the general case) over a distributed network of nod...

In-network data aggregation is considered an effective technique for conserving energy communication in wireless sensor networks. It consists in eliminating the inherent redundancy in raw data collected from the sensor nodes. Prior works on data aggregation protocols have focused on the measurement data redundancy. In this paper, our goal in addition of reducing measures redundancy is to identi...

Protecting privacy in sensor networks poses new challenges because of the potential incompatibilities between new privacy-preserving mechanisms and mechanisms already implemented in sensor networks (such as in-network data aggregation). To address this problem, we propose in this paper a set of new privacy-preservation data aggregation schemes. Different from past research, our solutions have t...

Using data aggregation to reduce power consumption is a well studied area. In this paper we show a new result: data aggregation can also be used to increase reliability. In scenarios where status is being collected from every node (e.g. network management), one measure of reliability is the completeness (nodes included). Using some of the power savings from aggregation to increase the retransmi...

The major issues in wireless sensor networks are data collection from sensors nodes. In WSN, data aggregation is an important process for reducing the energy consumption. We can reduce energy consumption by using the efficient technique for data aggregation. Also, achieving the reliability and robustness of transferring data is one of the major challenges. Hence in order to produce both reliabi...