{'fraction_non_alphanumeric': 0.019801980198019802, 'fraction_numerical': 0.0, 'mean_word_length': 5.877551020408164, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
On realizing distributed topology control in low-power IoT platforms

As current trends in distributed computing are enabling the vision of the Internet of Things (IoT), the necessity intensifies for addressing real-life aspects in massive scales. Energy efficiency remains a key design requirement for low-power IoT platforms, and distributed topology control techniques can yield the guidelines for optimizing the transmission power-connectivity nexus. In this work, we exploit previous theoretical results on necessary and sufficient conditions for establishing end-to-end connectivity, by introducing the notion of relative Delaunay neighbourhoods to computationally constrained hardware platforms. We implement the proposed approach on Contiki OS and we offer extensive emulation results, which highlight the scalability of our approach. Comparisons with benchmark solutions are offered to evaluate the performance of our framework in terms of achieved connectivity, memory demands, and energy efficiency.