Enhanced ShockBurst for Ultra Low-Power On-Demand Sensing

TL;DR

This paper evaluates Nordic Semiconductor's Enhanced ShockBurst protocol as a low-power, low-latency alternative to BLE for on-demand IoT sensing, demonstrating significant energy and latency improvements.

Contribution

It provides a systematic experimental comparison of ESB and BLE, showing ESB's superior performance for energy-efficient, event-driven IoT communication.

Findings

ESB achieves 0.68 ms latency for 244-byte packets.

ESB reduces transmission energy and time by nearly 2x compared to BLE.

ESB lowers wake-up time and energy by up to 10x, enabling 60% power savings.

Abstract

On demand sensing is emerging as a key paradigm in Internet of Things (IoT) systems, where devices remain in low power states and transmit data only upon event triggers. Such an operation requires wireless communication schemes that provide low latency, minimal wake up overhead, and high energy efficiency. However, widely adopted protocols such as Bluetooth Low Energy (BLE) rely on connection oriented mechanisms that incur non negligible latency and energy overhead during sleep wake transitions, limiting their effectiveness for event driven sensing. In this work, Nordic Semiconductor's proprietary Enhanced ShockBurst (ESB) protocol is investigated as an alternative communication scheme for low power on demand IoT systems. A systematic experimental comparison between ESB and BLE is presented on the same hardware platform, evaluating packet level latency, transmission energy, achievable throughput, wake up overhead under duty cycled operation, and bidirectional communication characteristics. Results show that ESB achieves a packet latency of 0.68 ms for a 244 byte payload, reduces per packet transmission time and energy by nearly 2x, increases maximum throughput by approximately 2x, and lowers wake up time and energy by up to 10x compared with BLE. To demonstrate system level impact, an implantable loop recorder prototype with FIFO triggered electrocardiogram transmission is implemented. The ESB based system enables rapid event driven communication with a minimum communication power of 0.5 mW and reduces total system power consumption by approximately 60 percent relative to BLE. These results highlight the limitations of connection oriented protocols for on demand sensing and establish ESB as a lightweight and effective communication alternative for energy constrained IoT applications, including biomedical implants and event driven monitoring systems.