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Leveraging the power of mobile crowdsensing (MCS) to achieve unparalleled coverage of tasks by utilizing the crucial spatio-temporal co-relation between the workers and tasks results in the distributed sensing system named spatio-temporal crowdsensing system (STCS). An STCS outsources sensing tasks to ubiquitous mobile computing devices to exploit their multi-modal sensing capabilities, collects the sensing results and process those to provide meaningful services. While realizing sustainable crowdsensing services, an STCS struggles with two conflicting objectives- maximizing the assignment quality and minimizing the recruitment cost. The first one requires assigning highly reputed workers in the spatio-temporal task blocks which results in higher recruitment costs. Thus a tradeoff between the aformentioned objectives is required. Existing works bring this tradeoff either by formulating a single objective as …