Anti-Collision Voting Based on Bluetooth Low Energy Improvement for the Ultra-Dense Edge

Abstract

Due to the popularity of short-range communications and the ultra-dense deployment of the Internet of Things (IoT), the occurrence of severe signal collision in crowded nodes is becoming increasingly critical. We propose a scheme called anti-collision voting based on Bluetooth low energy improvement for the ultra-dense edge, in which one topic can be identified and separated from the others to enable intensive voting. The scheme alleviates the exponential growth of advertising collisions and achieves efficient consensus between the devices and humans by localized the message advertising. The previous proposals focused on enhancing the hardware and optimizing the parameters to establish a connection for interaction. Considering the limitation of connective devices, our scheme adopts a novel advertising model in which the nodes can promptly exit the advertising state by actively responding. In addition, the scheme merges active responses into a group to notify the advertising nodes and randomly chooses a channel to reduce redundancy and save energy. The simulations demonstrate that the scheme can reduce the collisions by more than 90% and channel occupancy by half, while doubling the capacity and efficiently supporting intensive voting within edge networks.

Channel Diversity for Indoor Localization Using Bluetooth Low Energy and Extended Advertisements

“…With the growth of IoT applications and due to the limited number of BLE devices that can be simultaneously connected [10], researchers started to investigate other possibilities. Because advertisement messages allow the peripheral device to transmit a small chunk of application-specific data and the number of simultaneously communicating devices can be large [11], [12], they were adopted to various applications including opportunistic sensing, and localization [13], [14].…”

IPv6 over Bluetooth Advertisements: An alternative approach to IP over BLE

“…To improve energy consumption, we could adapt parts that focused on optimizing BLE advertising and scan parameters given measures such as reliability or energy [12,24,34,35,38]. Further optimization schemes to reduce radio interference [11,21,39] and network load [30] in BLE advertising networks could potentially also be applied to optimize IP-BLE-Adv networks.…”