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Data Aggregation (DA) is a technique of data gathering in Wireless Sensor Networks (WSNs). It provide advantages such as reporting consolidated data, reducing data redundancy, improving network lifetime etc. However, deploying WSNs in hostile and remote environments presents security vulnerabilities that can lead to various security attacks such as energy based attacks, attacks on data aggregation...
The design, manufacture and deployment of embedded systems become increasingly complex and multidisciplinary process. Before the steps of manufacturing and deployment, a simulation and validation phase is necessary. Given the increasing complexity of systems, a specific simulation and validation process must take place. This simulation ideally made in a single development environment, should cover...
Wireless sensor networks (WSNs) are data centric networks to which data aggregation is a central mechanism. Nodes in such networks are known to be of low complexity and highly constrained in energy. This requires novel distributed algorithms to data aggregation, where accuracy, complexity and energy need to be optimized in the aggregation of the raw data as well as the communication process of the...
Epidemic-based communications, or 'gossiping', provides a robust and scalable method for maintaining a knowledge base in a sensor network faced with an unpredictable network environment. Since sensed information is often periodic in time, protocols should be able to manage multiple messages in an efficient way. We describe a mathematical model of gossiping dealing with multiple messages. We present...
In this paper we focus on the survivability of wireless sensor network and develop a model to evaluate the tradeoffs between the cost of defense mechanisms for wireless sensor network and the resulting expected survivability after a network attack. We demonstrate the model through simulations its effectiveness in mitigating such attacks. Our analysis of the impact of these attacks versus the adversary's...
Most of wireless sensor networks (WSN) research topics consider how to save the energy of the sensor nodes. However, in some applications of WSN, such as in the monitoring of an earthquake or forest wildfire, transmitting emergency data packets to the sink node as soon as possible is much more important than saving power. In this paper, we propose a Priority-based Hybrid Protocol (PHP) WSN model to...
An energy-efficient data gathering protocol called E2DGP that takes advantage of spatial and temporal correlation of sampling data for WSNs is proposed in this paper. E2DGP includes a clustering method of balancing energy consumption, a data prediction transmission strategy and an energy-aware multihop routing algorithm. In clustering process phase, the initial probability of node for cluster head...
The unplanned and random deployment of a Wireless Sensor Network (WSN) may impose a high node density on a specific region. This concentration can be exploited by density control mechanisms to increase network lifetime, by deactivating temporarily redundant sensor nodes. Previous approaches for density control in WSN focus in guaranteeing full sensing coverage of monitoring area. This work presents...
Data aggregation is an essential paradigm for energy efficient routing in energy constraint wireless sensor networks (WSN). Data aggregation in WSN can be treated as searching for the Minimum Steiner Tree (MST) including source nodes and sink node. In this paper, we propose a Data-aggregation Algorithm based on Adaptive Ant Colony System (AACS) algorithm. In this algorithm, Directed Diffusion (DD)...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
Sink mobility has become an increasingly important requirement of various sensor network applications. Handling such mobile sink conditions brings new challenges to large-scale sensor networking. This investigation proposed a hybrid-structure routing protocol (HSRP) that combines the benefits of grid-based and cluster-based structures. Grid-based structure is designed to solve the cluster head selection...
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