Intelligent M2M: Complex event processing for machine-to-machine communication

Bruns, Ralf; Dunkel, Jürgen; Masbruch, Henrik; Stipkovic, Sebastian

doi:10.1016/j.eswa.2014.09.005

Cited by 41 publications

(33 citation statements)

References 16 publications

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“…Bruns et al [9] state that in traditional M2M systems, data processing is usually hard-coded and scattered all over source code, which makes it difficult to maintain. Therefore, they propose a complex event processing system (CEP) which separates event processing from source code.…”

Section: Related Workmentioning

confidence: 99%

Influence of on-Device Measurement Analysis on Energy Efficiency in Machine-to-Machine Systems

Skočir

Kušek

Jezic

2015

Annals of Computer Science and Information Systems

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Abstract-Machine-to-Machine Communication (M2M) enables communication between heterogeneous devices without human intervention. It is considered to be a key enabler technology for the concept of Internet of Things (IoT) and Cyber Physical Systems (CPS). With M2M's integration with Wireless Sensor Networks (WSN), information from different kinds sensors can be obtained. In order to discover useful knowledge from sensor data, various data mining techniques need to be applied. Due to the development of microprocessors on end devices in M2M system which collect data from sensors, data processing can also be executed on those devices. However, since end devices are often battery powered, energy consumption when running those algorithms needs to be taken into account. In this paper we implement an algorithm in M2M system, on Libelium Waspmote devices, which detects temperature plummeting in an indoor space. Afterwards, energy consumption of Waspmote devices is analyzed for two cases: when algorithm is executed on-device and when algorithm is executed on gateway or on back-end system.

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Section: Related Workmentioning

confidence: 99%

Influence of on-Device Measurement Analysis on Energy Efficiency in Machine-to-Machine Systems

Skočir

Kušek

Jezic

2015

Annals of Computer Science and Information Systems

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“…M2M systems in daily operations can be found in several application scenarios, such as remote monitoring, track and trace, facility management, and smart metering [34].…”

Section: Such As European Telecommunications Standards Institute (Etsmentioning

confidence: 99%

A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications

Meng

Muvianto

et al. 2017

IEEE Internet Things J.

105

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Abstract-Machine-to-Machine (M2M) communication is a key enabling technology for the future Industrial Internet of Things (IIoT) applications. It plays an important role in the connectivity and integration of computerized machines, such as sensors, actuators, controllers, and robots. The requirements in flexibility, efficiency, and cross-platform compatibility of the inter-module communication between the connected machines raise challenges for the M2M messaging mechanism toward ubiquitous data access and events notification. This investigation determines the challenges facing the M2M communication of industrial systems and presents a data-oriented M2M messaging mechanism based on ZeroMQ (ZMQ) for the ubiquitous data access in rich sensing pervasive industrial applications. To prove the feasibility of the proposed solution, the EU funded PickNPack production line with a reference industrial network architecture is presented, and the communication between a microwave sensor device and the Quality Assessment and Sensing (QAS) module controller of the PickNPack line is illustrated as a case study. The evaluation is carried out through qualitative analysis and experimental studies, and the results demonstrate the feasibility of the proposed messaging mechanism. Due to the flexibility in dealing with hierarchical system architecture and cross-platform heterogeneity of industrial applications, this messaging mechanism deserves extensive investigations and further evaluations.

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“…According to CEP, different algorithms have been proposed to increase Complex Event Processing capability. They adopt CEP engine (like Storm [7], Drools [18], and Esper [10,19]) in their applications, while others design new event processing engines and system architectures [11,12,15,16,20] with evaluation to show the usefulness and scalability.…”

Section: Related Workmentioning

confidence: 99%

“…A new solution is needed to process the continuous data in real time as well as discover the exceptions, threats, and actionable information behind all data, indicating that the Complex Event Processing (CEP) is a good candidate. Applying CEP approach could provide an adequate solution: enable access to real-time information while providing advanced query capabilities and minimal perturbation [10,11]. Therefore, CEP could be used in intelligent data analysis for enabling real-time processing and situation detection consequently leading to a new quality of system.…”

Section: Introductionmentioning

confidence: 99%

A Novel Complex Event Processing Engine for Intelligent Data Analysis in Integrated Information Systems

Wang

Zhou

Ali

et al. 2016

International Journal of Distributed Sensor Networks

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Novel and effective engines for data analysis in integrated information systems are urgently required by diverse applications, in which massive business data can be analyzed to enable the capturing of various situations in real time. The performance of existing engines has limited capacity of data processing in distributed computing. Although Complex Event Processing (CEP) has enhanced the capacity of data analysis in information systems, it is still a big challenging task since events are rapidly increasing in diverse applications. In this paper, a lightweight intelligent data analysis system with a novel CEP engine named LIDA-E is introduced, which employs the knowledge base with rules and an event processing algorithm for analysis. Event models as well as operators support the rules for event selection and aggregation. These operators and rules have been utilized for constructing new CEP system architecture which combines expressiveness and efficiency in analysis. It adopts the agents and filter conception explicitly to provide the event transmission mechanism efficiently. Finally, the comparison between the proposed engine and the existing engine shows that LIDA-E has 48.65% averagely reduced time cost in different tests. The experimental results demonstrate that the developed architecture has better performance in both transmitting and analyzing a large number of events.

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Intelligent M2M: Complex event processing for machine-to-machine communication

Cited by 41 publications

References 16 publications

Influence of on-Device Measurement Analysis on Energy Efficiency in Machine-to-Machine Systems

Influence of on-Device Measurement Analysis on Energy Efficiency in Machine-to-Machine Systems

A Data-Oriented M2M Messaging Mechanism for Industrial IoT Applications

A Novel Complex Event Processing Engine for Intelligent Data Analysis in Integrated Information Systems

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