Analysis of Energy Efficiency in Wireless Geophone Networks with Adaptive Clustering and Master Node Selection
Mirza Rahman, Hilal Hudan Nuha · 2023
Traditionally, cable-based systems have been used for geophysical surveys for oil and gas exploration. These systems are highly reliable in terms of data transmission speed, but they face weaknesses in procurement and maintenance. Recent research has introduced wireless networks as a potential solution to address these weaknesses, but to fully overcome the limitations of the current system, an energy-efficient architecture is necessary. The Adaptive Clustering Wireless Geophone (ACWG) has been studied as an energy-efficient solution, focusing on selecting the master geophone with the highest power in each group during transmission. Evaluation results demonstrate that the implementation of adaptive clustering energy efficiency modeling on wireless geophones leads to more efficient energy consumption. With 15.6 iterations and 140249.25 J of energy, the adaptive clustering approach outperforms non-adaptive clustering geophones that achieved only 10.7 iterations and consumed 160192.6 J of energy. Moreover, the ACWG model extends the lifespan of the WG node by 50% while reducing energy consumption by 8.03% compared to non-adaptive clustering geophones. These findings highlight the effectiveness of the ACWG architecture in enhancing energy efficiency and optimizing performance in wireless geophone systems for oil and gas exploration.