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Wireless Sensors in Heterogeneous Networked Systems by Jose Cecilio , Pedro Furtado Book Details
| Book Name | Wireless Sensors in Heterogeneous Networked Systems |
| Author | Jose Cecilio , Pedro Furtado |
| Category | Electronics & Communication Engineering, Education Books |
| Book Language | English |
| Pages | 156 |
| ISBN | 9783319092799 |
| Country | India |
| Book Size | 3 MB |
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About Wireless Sensors in Heterogeneous Networked Systems by Jose Cecilio , Pedro Furtado Book
Wireless sensors in heterogeneous networked systems refer to a class of devices that are capable of sensing and transmitting data wirelessly in environments where multiple types of networks or communication technologies are interconnected. These sensors play a significant role in various applications, including the Internet of Things (IoT), industrial automation, smart cities, environmental monitoring, and more. Here's an overview of wireless sensors in heterogeneous networked systems:
Heterogeneous Networked Systems:
Heterogeneous networked systems involve the integration of different communication technologies, such as cellular networks, Wi-Fi, Bluetooth, Zigbee, LoRaWAN (Long Range Wide Area Network), and more. These technologies may have varying data rates, coverage areas, power requirements, and capabilities. Heterogeneous networks allow devices to choose the most suitable network based on their specific requirements and context.
Wireless Sensors:
Wireless sensors are compact devices equipped with sensors for measuring physical or environmental parameters such as temperature, humidity, light, motion, pressure, and more. These sensors are capable of wirelessly transmitting the collected data to a central system or a cloud-based platform for analysis and decision-making. In heterogeneous networked systems, wireless sensors can use various communication technologies to establish connectivity and transmit data.
Applications:
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IoT Applications: Wireless sensors are a foundational component of the IoT, enabling the monitoring and control of physical objects and environments. Heterogeneous networks allow sensors to communicate effectively over different distances and in various contexts.
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Smart Cities: Heterogeneous networked sensors are used in smart city initiatives for applications like smart lighting, waste management, traffic monitoring, and environmental sensing.
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Industrial Automation: Wireless sensors enable real-time monitoring of equipment, machinery, and processes in industrial settings, improving efficiency and predictive maintenance.
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Environmental Monitoring: Wireless sensors can be deployed in remote or harsh environments to monitor natural resources, air quality, water quality, and more.
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Healthcare: In healthcare, wireless sensors can be used for patient monitoring, tracking medical equipment, and managing hospital resources.
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Agriculture: Sensors in heterogeneous networks aid in precision agriculture by monitoring soil conditions, weather, and crop health.
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Home Automation: Wireless sensors contribute to home automation systems by providing data for energy management, security, and convenience.
Challenges and Considerations:
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Interoperability: Integrating different communication technologies and ensuring interoperability among wireless sensors from different manufacturers can be challenging.
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Power Management: Power-efficient designs are crucial for wireless sensors, as some communication technologies may require more energy than others.
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Data Security and Privacy: Protecting data transmitted by wireless sensors is essential, especially in applications involving sensitive information.
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Scalability: Designing systems that can handle a large number of sensors while maintaining reliable communication is important.
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Network Management: Effective network management strategies are needed to ensure optimal performance and reliability in heterogeneous networked systems.
The integration of wireless sensors in heterogeneous networked systems offers opportunities for enhanced data collection, analysis, and decision-making across various domains. As technology continues to advance, these systems are likely to play an increasingly important role in shaping the way we monitor and interact with the physical world.
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