WSNs have become ubiquitous and are used in a wide range of applications, where their importance is reflected by their great number of applications due to many parameters that can be measured by sensors. TSP is maybe the combinatory optimization problem most studied during the history, and this problem consists of a traveling salesman which must move towards all the cities once until return to the starting city of its journey.From its theoretical appeal, the TSP's value stems from the wide range of applications it has. Vehicle routing and computer wiring are two common operations research applications.Combinatorial data analysis, such as reordering rows and columns of data matrices or detecting clusters, is the most common use in statistics.Finally, certain factors will be compared, including throughput, jitter, PDR number of packets dropped for the node model, and TSP solution method, to determine which method is the best for a WSN.

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