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Crowdsensing, people tracking and urban space utilization are critical tasks for understanding human behavior in smart cities. Human sensing applications provide valuable feedback to the urban developers and architects to optimize public facilities and re-invent spaces. In this chapter, a Renewable Wireless Sensor Network (RWSN) architecture for human sensing is presented to study the spatial and temporal information of urban space utilization and pedestrian flow. The individual components, pertaining to human sensing and RWSN network architecture, are also explained.