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Energy Efficient Policies for Data Transmission in Disruption Tolerant Heterogeneous IoT Networks
George Stamatakis1, Elias Z Tragos2,3, Apostolos Traganitis4
1Institute of Computer Science, Foundation for Research and Technology Hellas, N. Plastira 100, 70013 Heraklion, Greece. gstam@ics.forth.gr.
Sensors (Basel, Switzerland)
|September 12, 2018
Summary
This study introduces energy-efficient data transmission policies for mobile Internet-of-Things devices. By using location and network data, it improves connectivity and extends battery life in challenging network conditions.
Area of Science:
- Computer Science
- Electrical Engineering
- Networking
Background:
- Internet-of-Things (IoT) applications often involve mobile nodes with limited resources.
- Sparse network coverage and node mobility cause delays and intermittent connectivity.
- Low Power Wide Area Networking (LPWAN) is commonly used, but faces challenges with mobility.
Purpose of the Study:
- To develop energy-efficient data transmission policies for mobile IoT devices.
- To address challenges of intermittent connectivity and resource constraints in IoT networks.
- To improve packet transmission success rates and extend device battery life.
Main Methods:
- Formulated the data transmission problem as a dynamic programming problem.
- Utilized Markov Decision Processes (MDPs) to derive transmission policies.
- Incorporated spatial network resource availability and node localization information.
Main Results:
- Derived approximately optimal and suboptimal data transmission policies.
- Demonstrated improved packet transmission policies and reduced energy consumption.
- Showcased significant gains through the use of derived policies and location data.
Conclusions:
- Spatial network resource availability and localization information are crucial for efficient IoT communication.
- The proposed MDP-based approach effectively enhances packet transmission and conserves energy.
- This research contributes to extending the battery lifetime of memory and energy-constrained IoT devices.
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