Systems Approach to Computer Networks

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Wireless Sensor Networks

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Systems Approach to Computer Networks

Definition

Wireless sensor networks (WSNs) are networks composed of spatially distributed autonomous sensors that monitor physical or environmental conditions and communicate the collected data wirelessly. These networks are designed to gather information from various locations and provide valuable insights for applications like environmental monitoring, health care, and smart cities, leveraging the unique characteristics of wireless communication.

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5 Must Know Facts For Your Next Test

  1. Wireless sensor networks typically consist of many sensor nodes that operate on limited power, which makes energy efficiency crucial for their longevity.
  2. These networks use wireless communication technologies like Zigbee, Wi-Fi, or Bluetooth to transmit data between sensors and central processing units.
  3. WSNs are often deployed in challenging environments where traditional wired communication is impractical, such as remote monitoring in agriculture or disaster management.
  4. The scalability of wireless sensor networks allows for easy addition of more nodes to expand monitoring capabilities without major infrastructure changes.
  5. Security is a significant concern in wireless sensor networks due to their vulnerability to attacks like eavesdropping and data tampering.

Review Questions

  • How do the energy constraints of wireless sensor networks influence their design and functionality?
    • Energy constraints significantly impact the design and functionality of wireless sensor networks because sensor nodes often operate on battery power. This limitation necessitates the development of energy-efficient algorithms and protocols to prolong the network's operational lifetime. Designers must balance data accuracy with power consumption, leading to strategies like duty cycling, where nodes turn off their sensors during inactive periods, and using low-power communication techniques.
  • Discuss the role of data aggregation in improving the performance of wireless sensor networks.
    • Data aggregation plays a critical role in enhancing the performance of wireless sensor networks by reducing the amount of data transmitted over the network. By collecting and summarizing data from multiple sensors before transmission, it minimizes redundancy and decreases bandwidth usage. This process not only conserves energy but also leads to faster data delivery times and improves overall network efficiency, making it essential for applications where timely information is crucial.
  • Evaluate the implications of security vulnerabilities in wireless sensor networks on their deployment in critical applications.
    • The security vulnerabilities inherent in wireless sensor networks pose significant challenges for their deployment in critical applications such as healthcare monitoring or environmental surveillance. Potential attacks, including eavesdropping and unauthorized data manipulation, can lead to compromised data integrity and privacy concerns. As a result, it is essential to implement robust security measures, such as encryption and authentication protocols, to protect sensitive information. Evaluating these vulnerabilities ensures that WSNs can be reliably used in high-stakes scenarios where data accuracy and security are paramount.
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