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en:iot-reloaded:iot_systems_architectures [2025/05/13 14:44] – [IoT System Architectures] pczekalskien:iot-reloaded:iot_systems_architectures [2025/05/13 14:45] (current) – pczekalski
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-===== IoT v.s. Wireless Sensor Networks (WSNs) =====+===== IoT vs Wireless Sensor Networks (WSNs) =====
  
 People often think of IoT systems as WSN systems (figure {{ref>Typical_WSN_architecture}}), which is usually a close but inaccurate concept. There are several distinctive features of WSNs among other systems: People often think of IoT systems as WSN systems (figure {{ref>Typical_WSN_architecture}}), which is usually a close but inaccurate concept. There are several distinctive features of WSNs among other systems:
   - **Wireless:** Item Sensors that observe (sense) their surroundings and transmit data to the data concentration hub are sensor devices, sometimes called Nodes or Motes.    - **Wireless:** Item Sensors that observe (sense) their surroundings and transmit data to the data concentration hub are sensor devices, sometimes called Nodes or Motes. 
   - **Self-configuration Typically:** WSNs can self-configure due to their open architecture, hoping communication is based on Node-to-Node communication with dynamic pathfinding. So, they are capable of infrastructure-less deployment.   - **Self-configuration Typically:** WSNs can self-configure due to their open architecture, hoping communication is based on Node-to-Node communication with dynamic pathfinding. So, they are capable of infrastructure-less deployment.
-  - **Limited resources:** Power consumption and size limit computing power and memory available. Therefore, typically, WSNs provide values through a synergy of multiple simple measurements instead of a single and more complex one like a hyperspectral camera or MIMO radar.   +  - **Limited resources:** Power consumption and size limit the computing power and memory available. Therefore, typically, WSNs provide values through a synergy of multiple simple measurements instead of a single and more complex one, like a hyperspectral camera or MIMO radar.   
  
 <figure Typical_WSN_architecture> <figure Typical_WSN_architecture>
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 ===== Difference Between WSN and IoT Systems ===== ===== Difference Between WSN and IoT Systems =====
  
-Due to developments in infrastructure and communications technologies, IoT has grown far beyond simple interconnected devices as it is with WSN. While the IoT system might include WSN as its part, the IoT system functionality and application goal shift more towards decision-making and deeper data analysis. Because of its growing processing power, the availability of global wireless infrastructure, and synergies, IoT can solve complex tasks and support complex decisions. +Due to developments in infrastructure and communications technologies, IoT has grown far beyond simple interconnected devices, as with WSN. While the IoT system might include WSN as part, the IoT system functionality and application goal shift more towards decision-making and deeper data analysis. Because of its growing processing power, the availability of global wireless infrastructure, and synergies, IoT can solve complex tasks and support complex decisions. 
  
 **WSN v.s. IoT challenges:** **WSN v.s. IoT challenges:**
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 === Edge Computing === === Edge Computing ===
-Recent developments in hardware, power efficiency, and a better understanding of IoT data nature, including privacy and security, led to solutions where data is processed and pre-processed right to their source in the Edge class devices. Edge data processing on end-node IoT devices is crucial in systems where privacy is essential and sensitive data is not to be sent over the network (e.g. biometric data in a raw form). Moreover, distributed data processing can be considered more energy efficient in some scenarios where, e.g. extensive, power-consuming processing can be performed during green energy availability (figure {{ref>edge}}).+Recent developments in hardware, power efficiency, and a better understanding of IoT data nature, including privacy and security, led to solutions where data is processed and pre-processed right at its source in the Edge class devices. Edge data processing on end-node IoT devices is crucial in systems where privacy is essential and sensitive data is not to be sent over the network (e.g. biometric data in a raw form). Moreover, distributed data processing can be considered more energy efficient in some scenarios where, e.g. extensive, power-consuming processing can be performed during green energy availability (figure {{ref>edge}}).
  
 <figure edge> <figure edge>
en/iot-reloaded/iot_systems_architectures.1747147481.txt.gz · Last modified: 2025/05/13 14:44 by pczekalski
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