Today, Blockchain technology is emerging to support high secured performance computing. To improve privacy and security factors of allocate, storage, and manage resources in edge computing, blockchain technology can be used to guarantee safe data transmission and communications in Internet of Things (IoT). Due to heterogeneity of resources to cover a range number of IoT applications, resource allocation has a key role for increasing performance of the IoT systems in edge computing. Also, a blockchain‐based resource allocation model can support Quality of Service (QoS) for IoT applications to ensure a high secured communication environment in edge computing. This paper reviews different existing green energy strategies based on blockchain technology in mobile crowd sensing. Mobile crowd sensing refers to all computational aspects related to smart city, smart home‐care, smart grid, smart transportations, smart medical systems, smart industry, manufacturing, and smart farming in IoT environments. This review aims to classify principles and technical aspects of green energy strategies based on blockchain technology in mobile crowd sensing with respect to technical aspects, applied algorithms, evaluation factors, and evaluation environments. Based on Systematic Literature Review (SLR), we selected 37 high potential and key relevant research studies to consider in this review. Based on analytical results, 35% of them were considered as private‐based blockchain methods, 33% of them were applied to the public‐based blockchain methods, 24% of them were considered as consortium‐based blockchain methods, and 8% of them were as hybrid‐based blockchain methods.