A complex event processing framework implementation using heterogeneous devices in smart environments

Download
2012
Kaya, Muammer Özge
Significant developments in microprocessor and sensor technology make wirelessly connected small computing devices widely available; hence they are being used frequently to collect data from the environment. In this study, we construct a framework in order to extract high level information in an environment containing such pervasive computing devices. In the framework, raw data originating from wireless sensors are collected using an event driven system and converted to simple events for transmission over a network to a central processing unit. We also utilize complex event processing approach incorporating temporal constraints, aggregation and sequencing of events in order to define complex events for extracting high level information from the collected simple events. We develop a prototype using easily accessible hardware and set it up in a classroom within our university. The results demonstrate the feasibility of our approach, ease of deployment and successful application of the complex event processing framework.

Suggestions

A secure wireless network architecture proposal to be used by governments in case of emergency situations
Aksoy, Mustafa; Baykal, Nazife; Department of Information Systems (2007)
Since wireless network technology has advanced swiftly and dropped in price, it became a widely used networking option among numerous organizations and even single home users. In spite of their widespread usage by private sector, wireless networks are still undesired alternative for the governments due to security concerns. Although wireless networks possessed lots of proven and documented security flaws at first, with the latest researches and developments this condition ameliorated by the time and wireles...
Density based clustering using mathematical morphology
Erdem, Coşku; Çetin, Yasemin; Department of Information Systems (2007)
Improvements in technology, enables us to store large amounts of data in warehouses. In parallel, the need for processing this vast amount of raw data and translating it into interpretable information also increases. A commonly used solution method for the described problem in data mining is clustering. We propose "Density Based Clustering Using Mathematical Morphology" (DBCM) algorithm as an effective clustering method for extracting arbitrary shaped clusters of noisy numerical data in a reasonable time. T...
A genetic-based intelligent intrusion detection system
Özbey, Halil; Şen, Tayyar; Department of Industrial Engineering (2005)
In this study we address the problem of detecting new types of intrusions to computer systems which cannot be handled by widely implemented knowledge-based mechanisms. The solutions offered by behavior-based prototypes either suffer low accuracy and low completeness or require use data eplaining abnormal behavior which actually is not available. Our aim is to develop an algorithm which can produce a satisfactory model of the target system̕s behavior in the absence of negative data. First, we design and deve...
Awlp: building a custom wireless access point using open source software
Çakırcalı, Alptekin; Baykal, Nazife; Department of Information Systems (2005)
Almost all commercially available wireless access devices are special embedded systems with proprietary software that do not allow any modifications. Modifications to these systems are only possible by firmware upgrades released by manufacturers. However, release times of these firmware upgrades are unpredictable, and they are usually for bug-fix purposes rather than being feature and capability improvements. Thus, these devices fail to provide the needed flexibility. Ability to provide timely custom soluti...
A generic framework for optimizing performance metrics by tuning parameters of clustering protocols in WSNs
Alchihabi, Abdullah; Dervis, Ates; Ever, Enver; Al-Turjman, Fadi;( Abstracts: Wireless sensor network (WSN) is a key technology trend in emerging internet of things paradigms which are commonly used for application areas such as smart-cities, smart-grids, wearables, and connected health. There is a wealth of literature which considers various cluster-based routing protocols such as LEACH, HEED, and UHEED where these protocols are compared in terms of the network lifetime and/or the total number of packets successfully received by the base station under various operational conditions. While existing studies present various approaches to form WSN clusters in the most efficient way, various parameters are manually-assigned their values such as the radius of the cluster, the number of nodes in the cluster, and the number of clusters that should be formed to reach the base station. The choice of correct parameters is essential for reaching the most efficient configuration, however existing studies do not specify a systematic way for tuning these parameters. In other words, the optimization of cluster-based WSNs through fine tuning of related system parameters is not considered in the existing studies. We believe that presenting a generic approach to tune the parameters of clustering algorithms in order to optimize the performance metrics of WSNs is a significant contribution. In this study a systematic and an efficient method is presented to tune the parameters of clustering and routing protocols. Instead of brute force, or trial and error approaches, simulated annealing and K-beams algorithms are adopted together with discrete event system simulator OMNET++ with Castalia Framework. Results are presented comparatively with brute force approach in order to show the efficiency of the new approach in finding the optimum configuration in terms of energy efficiency as well as the rate of successfully received packets.; 2019-04-01)
Wireless sensor network (WSN) is a key technology trend in emerging internet of things paradigms which are commonly used for application areas such as smart-cities, smart-grids, wearables, and connected health. There is a wealth of literature which considers various cluster-based routing protocols such as LEACH, HEED, and UHEED where these protocols are compared in terms of the network lifetime and/or the total number of packets successfully received by the base station under various operational conditions....
Citation Formats
M. Ö. Kaya, “A complex event processing framework implementation using heterogeneous devices in smart environments,” M.S. - Master of Science, Middle East Technical University, 2012.