{'fraction_non_alphanumeric': 0.017595307917888565, 'fraction_numerical': 0.0, 'mean_word_length': 5.4, '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}}
Optimizing Power-Expense to Extend Network Lifetime in Power Constrained Networks

In this paper we propose an optimization-based framework to design distributed algorithms to achieve optimal performance in powerconstrained networks. Specifically, we consider the problem of maximizing network lifetime and connectivity when battery-power is a scarce resource. By formulating the problem in terms of adis-utility minimization problem, we demonstrate that an optimal battery-expense regime can be derived. The formulation consists of two parts where, one part handles the discovery of optimal parameters of operation and the other is an online battery-expense regulation algorithm. The parameter discovery part uses loss-rate as a feedback from one-hop neighbors to arrive at an optimal setting. The solution provided by our framework can be deployed in a completely distributed manner and is parsimonious in terms of parameters. We present examples and representative results to illustrate the capabilities of our proposal.