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A Novel Petri Nets-Based Modeling Method for the Interaction between the Sensor and the Geographic Environment in
Feng Zhang1, Yuetong Xu2, Jarong Chou3
1College of Geography and Environment, Shandong Normal University, Jinan 250014, China. zhangfeng.ge@sdnu.edu.cn.
This study introduces a new Petri Nets-based method for modeling complex interactions between sensor devices and the geographic environment in Emerging Sensor Networks (ESNs). The approach enhances performance by considering factors like response time and fault tolerance in IoT and GIS services.
Area of Science:
- Computer Science
- Geographic Information Systems
- Network Engineering
Background:
- Emerging Sensor Networks (ESNs) extend traditional Web services, enabling direct interaction between sensor devices and the geographic environment.
- The complex interaction between sensor devices and geographic entities presents significant modeling challenges.
- Sensor device services in ESNs are more susceptible to environmental influences than traditional Web services, impacting system performance.
Purpose of the Study:
- To propose a novel Petri Nets-based modeling method for the interaction between sensor devices and the geographic environment in ESNs.
- To address the challenges in modeling the complex, environment-sensitive interactions of sensor services.
- To improve the performance of sensor application systems by considering response time, fault tolerance, and resource consumption.
Main Methods:
- Classification of IoT services into Sensing and Controlling services based on interaction with geographic entities.
- Classification of GIS services into data and processing services.
- Design and analysis of service algebra and Colored Petri Nets (CPN) models for geo-features, IoT services, GIS services, and their interactions.
Main Results:
- A novel Petri Nets-based modeling method was developed for sensor-geographic environment interactions.
- The proposed method effectively models geo-features, IoT services, GIS services, and their complex interdependencies.
- The modeling process was illustrated and validated through practical examples.
Conclusions:
- The proposed Petri Nets-based approach provides a robust framework for modeling sensor-geographic environment interactions in ESNs.
- This method facilitates a better understanding and management of performance factors such as response time and fault tolerance.
- The classification of services and the use of service algebra with CPN models offer a comprehensive solution for complex sensor network applications.
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