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| en:iot-reloaded:green_iot_design_tradeoffs [2023/08/25 16:47] – external edit (Unknown date) 127.0.0.1 | en:iot-reloaded:green_iot_design_tradeoffs [2025/05/13 10:47] (current) – [Green IoT (G-IoT): A Holistic Approach] pczekalski | ||
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| - | === Green IoT design trade-offs === | + | ====== Green IoT Design Trade-offs ====== |
| - | < | + | Balancing various design criteria is critical to achieving optimal performance while minimising environmental impact in designing and implementing IoT devices and infrastructures. The concept of Green IoT (G-IoT) emphasises designing IoT systems that are energy-efficient, |
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| + | ===== Energy Efficiency ===== | ||
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| + | One of the primary design goals of IoT is minimising energy consumption, | ||
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| + | * **Energy-Efficient Hardware:** Microcontrollers and sensors optimised for low power draw. | ||
| + | * **Energy-Efficient Software:** Algorithms designed to reduce computational overhead. | ||
| + | * **Low-Power Communication Protocols: | ||
| + | These measures reduce energy demand and extend battery life. However, the benefit of energy savings often comes at the cost of reduced performance: | ||
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| + | * **Processing Speed:** Energy-efficient hardware may have slower processing capabilities. | ||
| + | * **Network Bandwidth: | ||
| + | * **Packet Loss and Latency:** Optimisations to save power may increase transmission delays or packet loss, affecting Quality of Service (QoS). | ||
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| + | ===== Security Trade-offs ===== | ||
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| + | Security is another critical consideration that often conflicts with energy efficiency in IoT design. Traditional robust security algorithms, such as those used in standard computing systems, are computationally intensive and consume significant energy. Applying such algorithms directly to IoT devices would rapidly deplete their batteries. | ||
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| + | * **Energy-Hungry Security Protocols: | ||
| + | * **Efforts for Energy-Efficient Security:** Research and development are focused on creating lightweight cryptographic algorithms and authentication mechanisms tailored for resource-constrained IoT devices.\\ | ||
| + | However, prioritising energy efficiency may compromise the level of security, leaving devices vulnerable to attacks such as data breaches, eavesdropping, | ||
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| + | ===== Cost Considerations ===== | ||
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| + | Cost is another key factor influencing IoT design. Manufacturers often strive to keep production costs low to ensure the affordability of devices, especially for mass-market applications. This focus on cost reduction may lead to the following: | ||
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| + | * **Sacrifices in Security:** Inexpensive devices may lack robust security features, increasing the risk of vulnerabilities. | ||
| + | * **Tradeoffs in Performance and QoS:** Lower-cost components may provide suboptimal computing or communication capabilities.\\ | ||
| + | While minimising cost is essential for market viability, it can compromise other critical aspects, such as reliability, | ||
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| + | ===== Green IoT: A Holistic Approach ===== | ||
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| + | Green IoT aims to address the environmental and sustainability challenges associated with IoT systems. It focuses on: | ||
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| + | * **Minimising Energy Consumption: | ||
| + | * **Reducing E-Waste:** Promoting the use of recyclable materials and modular designs to extend device lifecycles. | ||
| + | * **Sustainable Applications of IoT:** Leveraging IoT solutions to enhance resource efficiency in agriculture, | ||
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| + | Examples include precision farming, smart grids, and waste management systems. | ||
| + | However, Green IoT design must also balance other key requirements: | ||
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| + | * **Quality of Service (QoS):** Ensuring energy and cost optimisations do not compromise performance. | ||
| + | * **Security: | ||
| + | * **Cost-Effectiveness: | ||
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| + | ===== Design Challenges and Trade-off Management ===== | ||
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| + | Achieving the goals of Green IoT requires careful consideration of trade-offs: | ||
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| + | * **Energy vs. Performance: | ||
| + | * **Security vs. Energy and Cost:** Integrating security features without excessive energy consumption or cost inflation is a significant challenge. | ||
| + | * **Sustainability vs. Cost:** Sustainable practices, such as using eco-friendly materials or designing for recyclability, | ||
| + | To navigate these trade-offs, designers can adopt strategies such as: | ||
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| + | * **Adaptive Systems:** IoT devices that dynamically adjust energy use and processing power based on current requirements. | ||
| + | * **Edge Computing: | ||
| + | * **Standardisation: | ||
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| + | Green IoT represents a transformative approach to designing IoT systems that align with environmental and sustainability goals. By addressing energy efficiency, e-waste reduction, and sustainable resource management, Green IoT can contribute to a more sustainable future. However, realising these benefits requires a balanced approach considering the trade-offs between QoS, security, energy efficiency, and cost, ensuring that IoT systems are functional and eco-friendly. | ||