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arXiv · 2003.10807

Sum-Rate Maximization and Data Delivery for Wireless Seismic Acquisition

Abdullah Othman·Wessam Mesbah·Naveed Iqbal·Suhail Al-Dharrab·Ali Muqaibel·Gordon Stüber
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Abstract

Traditional seismic acquisition systems suffer from a number of difficulties related to telemetry cables that are used as a means of data transmission. Transforming the traditional seismic acquisition system to a wireless system has been considered as a potential solution to most of these difficulties. The wireless seismic acquisition system has to serve a huge aggregate data rate requirement as is usually the case in a large wireless sensor network. This paper considers the wireless acquisition system, and studies the maximum achievable transmission data rates from the geophones to the wireless gateways. Successive interference cancellation decoding is assumed to be used at the gateway nodes. We consider the problem of sum-rate maximization by optimizing the decoding process at each gateway node. The optimization searches for optimal decoding set at each gateway, i.e. which group of geophones will be decoded at each gateway. Various integer programming algorithms are proposed for solving the maximization problem. These optimization algorithms are simulated and compared among each other, where it is shown that the ant system algorithm achieves the highest sum-rate with lower computational complexity compared to other algorithms. Furthermore, the data delivery from the gateways to the data center is also considered. In this stage, two gateways with different buffer sizes are studied. For small-size buffers, two optimization problems are identified and solved. The first problem considers the minimization of the total power of the gateways, and the second problem considers power fairness between the gateways. For large-size buffers, the problem of maximizing the weighted sum rate of the gateways is solved.

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Abdullah Othman, Wessam Mesbah, Naveed Iqbal, Suhail Al-Dharrab, Ali Muqaibel, Gordon Stüber. 2020-03-24. Sum-Rate Maximization and Data Delivery for Wireless Seismic Acquisition. https://doi.org/10.1007/s11276-020-02427-8

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