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The rapid development of the Internet of Things (IoT) has extensively promoted the development of Wireless Sensor Networks (WSNs), an essential technology for series displaying perception and data collected from the physical world. In densely distributed areas, sensor nodes are unevenly distributed, which leads to the network coverage build-up and the consequent efficiency and effectiveness of WSNs. To address this issue, this paper proposes a new method for WSN coverage optimization based on the Reptile Search Algorithm (RSA). In the past, the Reptile Search algorithm has been used to solve optimization problems, which means it can improve different processes. However, the RSA needs to track the trajectory of optimal individuals in each iteration, which will ignore non-optimal individuals' bioeconomic characteristics. Therefore, the paper introduces a distribution estimation strategy into the RSA framework, which can fully mine all the positional information hidden in the entire population. We selected several functions as optimization test benchmark functions to evaluate the feasibility of the proposed method. This paper compares the proposed improved RSA with the standard RSA and some traditional optimization algorithms. The result has been calculated through a series of experiments on network coverage optimization, and the change of parameters also determines the effect of the RSA in the optimization of network coverage. The simulated results of the three similar network coverage optimization experiments show that the improved RSA can be used efficiently within different scenarios.

Accurately determining the modulus of cement stabilized macadam is a crucial and essential task for effectively calculating the mechanical response or evaluating the performance of semi-rigid asphalt pavement. However, there is currently still no standardized or widely acknowledged method for determining the modulus of cement stabilized macadam, which makes pavement response calculation and performance evaluation more challenging. Therefore, this study first outlines the features of several typical approaches that have been utilized to date to determine the modulus of cement-stabilized macadam while also highlighting the drawbacks of these approaches. Then, based on these analyses and summaries, proposes a new method that uses bending beam test to simultaneously determine the dynamic resilient modulus in compression and tension for cement stabilized macadam. Afterwards, in order to verify the proposed method, this study conducts three different types of dynamic resilient modulus tests for cement stabilized macadam, and compares the test results of these three types of methods to figure out the differences in their mechanical mechanisms. Finally, based on these tests and analysis, some reasonable recommendations about dynamic resilient modulus testing of cement stabilized macadam are provided.