Edge Computing of Online Bounded-Error Query for Energy-Efficient IoT Sensors.

Area of Science:

• IoT and Wireless Sensor Networks
• Data Compression and Edge Computing
• Communication Systems

Background:

• Transmitting data in IoT applications consumes more power than computation, necessitating communication cost reduction for extended system lifetime.
• IoT sensor data often contains distortions, leading to bounded-error data influenced by Quality of Sensor Service (QoS²) or Quality of Decision Making (QoD) requirements.
• Previous work introduced Bounded-Error-pruned Sensor Data Compression (BESDC) to lower point-to-point communication costs in wireless sensor networks (WSNs).

Purpose of the Study:

• To propose an online bounded-error query (OBEQ) scheme leveraging edge computing for efficient data retrieval in IoT applications.
• To develop a query filter mechanism that minimizes unnecessary data requests and reduces communication overhead.
• To ensure that the proposed scheme meets specified QoS²/QoD requirements while optimizing communication efficiency.

Main Methods:

• Implementation of an online bounded-error query (OBEQ) scheme built upon the existing BESDC framework.
• Integration of edge computing to manage the online query process efficiently.
• Development and application of a query filter to pre-emptively reduce data transmission by filtering unnecessary queries.

Main Results:

• The proposed OBEQ scheme with a query filter effectively reduces communication costs associated with requesting sensing data.
• Experimental results using real WSN data demonstrate significant performance improvements.
• A reduction of up to 88% in communication costs was observed compared to traditional online query methods.

Conclusions:

• The OBEQ scheme offers a viable solution for reducing communication costs in IoT sensor networks.
• Edge computing integration enhances the efficiency of online data querying processes.
• The query filter is crucial for achieving substantial reductions in communication overhead, thereby improving WSN performance and longevity.