{'fraction_non_alphanumeric': 0.020903573836817263, 'fraction_numerical': 0.0020229265003371545, 'mean_word_length': 5.106995884773663, '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}}
A New Method of Dual-Hop Energy Harvesting and Efficient Power Allocation in IoT Networks Using a Bio-Inspired Based Power Distribution Scheme

Dual hop communication is an efficient technique for the broadcasting of energy in upcoming wireless transmission particularly in the Internet of things, (IoT). Energy consumption is a major issue for 5G communication networks. Hence the main role is to constraint the power and improves the energy efficiency of 5G networks. In this paper, the power consumption is minimized to improve the energy efficiency of the 5G network. In particular, we focus on power splitting in single and multi-user cooperative communication (CC) systems where the communication between transmitter and receiver is achieved in two-phase transmission. The non-linear issue has been solved by the near to closeness expression. In the proposed scheme the Lagrange method is used to evaluate the solution to non-linearity of system energy efficiency to the finest resolution. We formulate the corresponding algorithm design as a non-convex problem by making use of Dinkel-bach algorithm and Lagrange Dual decomposition method. However, this method is more time-consuming so the non-convex problem is further optimized by using a Bio-inspired Genetic Algorithm (GA). On comparing the simulation fallouts of the proposed-scheme with the previously published work the efficiency of the proposed scheme has been observed to perform better as compared to existing ones