With the rapid development of wireless communication technology, sensor technology, information acquisition and processing technology, sensor networks will finally have a deep influence on all aspects of peoples lives. Pdf secured data aggregation in wireless sensor networks. Secure data aggregation in wireless sensor networks ieee 2012 ns2 in a large sensor network, innetwork data aggregation significantly reduces the amount of communication and energy consumption. Energy saving minimizing the rare sources of energy, noise and atmospheric monitoring reducing the pollution, and healthcare monitoring helping the health are examples of important. We propose an energyefficient and highaccuracy eeha scheme for secure data aggregation in wireless sensor networks. Wireless sensor networks an overview sciencedirect topics. National science foundation nsf, ibm, and ciscos university research program, wireless sensor networks. This paper attempts to identify the reliability assessment in terms of data aggregation in wireless sensor networks. In the wireless sensor networkwsn have the hard mission, it prolongs the lifetime of the network, so with the help. Secure data aggregation research for wireless sensor network. The problem is to compute the result of an aggregate function cf. Proc of the th acm international conference on modeling, analysis, and simulation of wireless and mobile systems. High accuracy data fusion algorithm for privacy serving in. These are similar to wireless ad hoc networks in the.
The final result needs to be available at the base station of the sensor network. Eventtriggered data aggregation refers to no node need. Cn model uses the pushpull strategy, when the sensor detects specific events, it will periodically push broadcast the information throughout the network, when user want to get the information, then a pullbased information query will be exploited. The life time of sensor network reduces because of employing energy inefficient nodes for data aggregation. Research article minimum cost data aggregation for. This thesis focuses on three fundamental issues that concern data aggregation protocols for periodic data collection in sensor networks. To optimizing wireless sensor networks for secured data transmission both at cluster head and base station data aggregation is needed. Data acquisition and dissemination protocols for wsns are aimed at collecting information from sensor nodes and forwarding it to the subscribing entities such. Data aggregation in typical wireless sensor networks, sensor nodes are usually resourceconstrained and batterylimited. Wsns measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on.
One of the data aggregation techniques is to use data aggregation tree. The entropy is computed from the proposed local and global. Wireless sensor networks provide largescale measurements of physical properties using large amounts of sensors that transport their data wirelessly to a base station. The university of texas at arlington, 2008 supervising professor. But finding one optimum data aggregation tree to collect data in networks with one sink is a nphard problem. Wireless sensors, transmitters and receivers for collecting measurement data wirelessly. The issue of when nodes should report their data is considered in the context of. Secure data aggregation with fully homomorphic encryption. Data aggregation is performed in every router while forwarding data. In wireless sensor networkswsns, combneedlecn model has been used for information discovery. Secondly, to reduce the impact of sensitive raw data, we propose a dataindependent aggregation method which bene. Secure data aggregation in wireless sensor network. Periodic data sampling leads to enormous collection of raw facts, the transmission of which would rapidly deplete the sensor power. Secure data aggregation technique for wireless sensor.
In recent years, the main challenge was to develop energy e. Performance of data aggregation for wireless sensor networks. Sensor networks where theory meets practice gianluigi. In order to reduce the transmission of redundant data and enhance security, this article proposed a secure data aggregation and authentication scheme. Secure data aggregation research for wireless sensor. The battery resources of sensor nodes should be managed efficiently in order to prolong network lifetime in largescale wireless sensor networks lwsns. Realtime data acquisition in wireless sensor networks. Principles of wireless sensor networks by mohammad s. In recent years, wireless sensor networks have been used for various applications such as environmental monitoring, military and medical applications. In order to save resources and energy, data must be aggregated to avoid overwhelming amounts of traffic in the network. Sep 11, 2014 data aggregation in wireless sensor networks 1. Data aggregation is defined as the process of removing the duplicate data packets by combining the received and sensed data by a node. Wireless sensor networks data aggregation realtime forwarding abstract data aggregation is a very important method to conserve energy by eliminating the inherent redundancy of raw data in dense wsns.
Wireless networks and systems laboratory the university. Consider a network of n sensor nodes, each responsible for taking a reading equation in a given epoch. Wireless sensor networks are often deployed in open or even hostile environment, its security problem is very prominent, data aggregation is easily to be attacked for security during the specific implementation process. A wireless sensor network is composed of hundreds or thousands of tiny resourceconstrained sensors, equipped with nonrechargeable batteries. Wireless sensor network wsn refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. Data aggregation da is the best approach for energy conservation in wireless sensor networks wsn, due to the open deployment, sensors are prone for security threats s. Data acquisition and dissemination protocols for wsns are aimed at collecting information from sensor nodes and forwarding it to the subscribing entities such that maximum data rate is achieved while maximizing the overall network life time. Wireless sensor networks wsns provide several types of applications providing comfortable and smarteconomic life.
Secure data aggregation in wireless sensor networks wei zhang, ph. Data aggregation is the process of one or several sensors then collects the detection result from other sensor. Secure and privacypreserving data aggregation protocols for. Hani alzaid, ernest foo, juan gonzalez neito and donggook park february 7th 2011. Mujdat soyturk, halil cicibas and omer unal november 28th 2010.
Many applications of sensor networks require realtime data aggregation. Survey on several secure data aggregation schemes in wsn. Performance evaluation of data aggregation for clusterbased. Secure data aggregation in wireless sensor networks ieee. Security data aggregation in wireless sensor networks, emerging communications for wireless sensor networks, anna foerster and alexander foerster, intechopen, doi. Hani alzaid, ernest foo, juan gonzalez neito and donggook park february 7th. Data aggregation is the process of reducing communication overhead in wireless sensor networks. Consider a network of n sensor nodes, each responsible for taking a reading v i 1. Sep 14, 20 secure data aggregation in wireless sensor networks ieee 2012 ns2 in a large sensor network, in network data aggregation significantly reduces the amount of communication and energy consumption.
Data aggregation in wireless sensor networks jin cui to cite this version. Energy efficient data aggregation in wireless sensor networks. In wireless sensor network, data fusion is considered an essential process for preserving sensor energy. Security challenges data acquisition systems for sensor networks can be classi. In this thesis, we present a fast data aggregation technique for wireless sensor networks which uses a randomized architecture. Review for secure data aggregation in wireless sensor. Development of an integrated framework for video acquisition, stream processing, video synthesis, opportunistic networking, and integrated pervasive services in dynamic and heterogeneous environments are contributions of this project.
Although structured approaches are particularly useful for data gathering. Secure data aggregation with fully homomorphic encryption in. Of these, we present two and give design st rategies of them. Wireless sensor networks can be used to monitor the condition of civil infrastructure and related geophysical processes close to real time, and over long periods through data logging, using appropriately interfaced sensors. Secure data aggregation in wireless sensor networks. Realtime data acquisition in wireless sensor networks, data acquisition, michele vadursi, intechopen, doi. A new data fusion algorithm for wireless sensor networks.
Written by awardwinning engineers whose research has been sponsored by the u. In batterypowered wireless sensor networks, energy is the most precious resource, and radio communication is often the dominant consumer of energy. Review for secure data aggregation in wireless sensor networks shweta rana, prof. Secure and privacypreserving data aggregation protocols. There has been extensive work on data aggregation schemes in sensor networks, the aim of data. Data acquisition and dissemination protocols for wsns are aimed at collecting information from sensor nodes and forwarding it to the. A hybrid structure for data aggregation in wireless sensor. The advance in cmos camera and wireless sensor network wsn has promoted the development of wireless multimedia sensor network wmsn, which can collect more abundant video data and image data.
Directed diffusion dd 2 may be a popular information aggregation paradigm for wireless device networks. The idea of this book comes from the observation that sensor networks represent a topic of interest from both theoretical and practical perspectives. Leveraging the property of exponential aggregation latency distribution, the optimizing strategy, namely faulttolerant scheduling for aggregation. On the other hand, data fusion can effectively decrease data redundancy, reduce the amount of data transmission and. Therefore, energy consumption in wireless sensor networks is one of the most challenging problems in practice. Purpose this study aims to provide a secured data aggregation with reduced energy consumption in wsn.
Research article layerbased data aggregation and performance. Energyefficient and highaccuracy secure data aggregation. Therefore, in this setting, the main optimization objective is to minimize the total amount of communication needed in answering an aggregation query. Proceedings of the sixth australasian information security conference aisc 2008. Oct 16, 2015 data aggregation in wireless sensor network 1.
Data aggregation is considered as one of the fundamental processing procedures for saving the energy. Energyefficient and highaccuracy secure data aggregation in. An approach used by several data acquisition systems 16,31 for sensor networks is to construct a spanning tree rooted at the data sink, and then perform innetwork aggregation along the tree. Realtime data acquisition in wireless sensor networks, data acquisition, michele. Secure data aggregation technique in wireless sensor. Structurefree realtime data aggregation in wireless. With the sensor nodes bayesian lifetime model, the fault ratio of sensing data among a pair of nodes in the worst case is derived. A new method for building data aggregation tree in wireless. Information processing in sensor networks is a rapidly emerging area of computer science and electrical engineering research. Wireless sensor network applications usually do not require knowledge of each individual sensor measurement at the sinks. The battery resources of sensor nodes should be managed efficiently in order to prolong network lifetime in largescale wireless sensor. Secure data aggregation in wireless sensor networks ieee 2012.
Security data aggregation in wireless sensor networks. Abstract this thesis focuses on three fundamental issues that concern data aggregation protocols for periodic data collection in sensor networks. A wireless sensor network uses a large number of sensor nodes that continuously collect and send data from a specific region to a base station. Partial results propagate levelbylevel up the tree, with each node awaiting messages from all its chil. Complete monitoring kits available for simple and easy kickoff. A new method for building data aggregation tree in. Wireless fidelity, also know as wifi, is a term used to describe wireless networking technology. Wireless sensor networks are becoming increasingly popular in many applications,, such as military surveillance and civilian usage. On the other hand, data fusion can effectively decrease data redundancy, reduce the amount of data transmission and energy consumption in the. Data aggregation technologies of wireless multimedia. There has been extensive work on data aggregation schemes in sensor networks, the aim of data aggregation is that eliminates redundant data transmission and enhances the lifetime of energy in wireless sensor network. Leveraging the property of exponential aggregation latency distribution, the optimizing strategy, namely faulttolerant scheduling for.
In the data aggregation technique, related information packages are combined in intermediate nodes and form one package. There are applications that use realtime data aggregation via wireless sensor networks. Data coming from multiple sensor nodes are aggregated as if they are about the same attribute of the. Aggregation over the collection of all readings v i, v 2, v n taken in the current epoch. Data aggregation technologies of wireless multimedia sensor networks. Cambridge core distributed, networked and mobile computing principles of wireless sensor networks by mohammad s. A scalable and dynamic data aggregation aware routing protocol for wireless sensor networks. Because of advances in microsensors, wireless networking and embedded processing, ad hoc networks of sensor are becoming increasingly available for commercial, military, and homeland security applications. Performance evaluation of data aggregation for cluster. A common objective of wsn is to retrieve certain summary of sensed data instead of the entire set of data. Mid semester presentation seminari on data aggregation in wireless sensor network presented by shiwangi yadav m. The goal of eeha is that the sensor network can obtain an accurate aggregation result while guaranteeing that no private sensor reading is released to other sensors and that no significant extra overhead is introduced. Data aggregation is the process of reducing communication overhead in. Data from sensors are collected from the study area in the common scenario of.
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