Optimizing BLE-Like Neighbor Discovery
Philipp H. Kindt, Swaminathan Narayanaswamy, Marco Saur, Samarjit, Chakraborty

TL;DR
This paper introduces an optimization framework for BLE-like neighbor discovery protocols with periodic intervals, achieving lower discovery latencies and efficient parameter settings tailored to duty-cycle constraints, especially in IoT scenarios.
Contribution
It presents the first systematic method to optimize parameters of PI-based BLE-like protocols, ensuring minimal discovery latency for given energy budgets.
Findings
Optimized parameters guarantee lowest latency for single transmitter-receiver discovery.
The protocol's aggressive channel usage increases collision rates among multiple devices.
The framework can be adapted to configure actual BLE protocols beyond BLE-like models.
Abstract
Neighbor discovery (ND) protocols are used for establishing a first contact between multiple wireless devices. The energy consumption and discovery latency of this procedure are determined by the parametrization of the protocol. In most existing protocols, reception and transmission are temporally coupled. Such schemes are referred to as \textit{slotted}, for which the problem of finding optimized parametrizations has been studied thoroughly in the literature. However, slotted approaches are not efficient in applications in which new devices join the network gradually and only the joining devices and a master node need to run the ND protocol simultaneously. For example, this is typically the case in IoT scenarios or Bluetooth Low Energy (BLE) piconets. Here, protocols in which packets are transmitted with periodic intervals (PI) can achieve significantly lower worst-case latencies than…
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