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Traditional seismic acquisition systems suffer from a number of difficultiesrelated to telemetry cables that are used as a means of data transmission.Transforming the traditional seismic acquisition system to a wireless systemhas been considered as a potential solution to most of these difficulties. Thewireless seismic acquisition system has to serve a huge aggregate data raterequirement as is usually the case in a large wireless sensor network. Thispaper considers the wireless acquisition system, and studies the maximumachievable transmission data rates from the geophones to the wireless gateways.Successive interference cancellation decoding is assumed to be used at thegateway nodes. We consider the problem of sum-rate maximization by optimizingthe decoding process at each gateway node. The optimization searches foroptimal decoding set at each gateway, i.e. which group of geophones will bedecoded at each gateway. Various integer programming algorithms are proposedfor solving the maximization problem. These optimization algorithms aresimulated and compared among each other, where it is shown that the ant systemalgorithm achieves the highest sum-rate with lower computational complexitycompared to other algorithms. Furthermore, the data delivery from the gatewaysto the data center is also considered. In this stage, two gateways withdifferent buffer sizes are studied. For small-size buffers, two optimizationproblems are identified and solved. The first problem considers theminimization of the total power of the gateways, and the second problemconsiders power fairness between the gateways. For large-size buffers, theproblem of maximizing the weighted sum rate of the gateways is solved.

Sum-Rate Maximization and Data Delivery for Wireless Seismic Acquisition