Energy Efficient Constellation for Wireless Connectivity of IoT Devices

Area of Science:

• Electrical Engineering
• Computer Science
• Information Theory

Background:

• The Internet of Things (IoT) paradigm necessitates significant reductions in energy consumption.
• Current communication standards (e.g., 3G/4G) employ complex protocols with active and sleep modes, leading to energy waste due to partially filled transmission frames.
• Adapting power-saving modes with low latency to discontinuous data sources is challenging because receivers lack a priori knowledge of transmission timing.

Purpose of the Study:

• To propose a modified signaling/constellation technique for energy saving in IoT communications.
• To analyze the fundamental principles of this new energy-saving technique.
• To derive key performance metrics including maximum a posteriori probability (MAP) criterion, probability of error, energy entropy, energy capacity, and energy cost for binary signaling.

Main Methods:

• Development of a modified signaling/constellation scheme.
• Mapping of a zero-energy symbol within the information source.
• Derivation of theoretical metrics for binary signaling: MAP criterion, probability of error, energy entropy, energy capacity, and energy cost.

Main Results:

• The proposed technique enables energy savings by incorporating zero-energy symbols.
• Theoretical derivations provide a comprehensive understanding of the technique's performance.
• Analysis covers essential information-theoretic and error-performance aspects for binary cases.

Conclusions:

• The modified signaling technique offers a promising approach to reduce energy consumption in IoT networks.
• The derived metrics validate the energy-saving potential and performance characteristics of the proposed method.
• This research lays the groundwork for more energy-efficient IoT communication systems.