Internet-of-Things (IoT) is an appealing service to revolutionise Smart City (SC) initiatives across the globe. IoT interconnects a plethora of digital devices known as Sensor Nodes (SNs) to the Internet. Due to their high performance and exceptional Quality-of-Service (QoS) Multiprocessor System-on-Chip (MPSoC) computing architectures are gaining increasing popularity for the computationally extensive workloads in both IoT and consumer electronics. In this survey, we have explored balance between the IoT paradigm and its applications in SC while introducing Wireless Sensor Network (WSN), including the structure of the SN. We considered MPSoCs systems in relation to characteristics such as architecture and the communication technology involved. This provides an insight into the benefits of coupling MPSoCs with IoT. This paper, also investigates prevalent software level energy optimisation techniques and extensively reviews workload mapping and scheduling approaches since 2001 until today for energy savings using (1) Dynamic Voltage and Frequency Scaling (DVFS) and/or Dynamic Power Management (DPM) (2) Inter-processor communication reduction (3) Coarse-grained software pipelining integrated with DVFS. This paper constructively summarises the findings of these approaches and algorithms identifying insightful directions to future research avenues.

物联网 (IoT) 是一项极具吸引力的服务，可以彻底改变全球的智慧城市 (SC) 计划。物联网将大量称为传感器节点 (SN) 的数字设备连接到互联网。由于其高性能和卓越的服务质量 (QoS) 多处理器片上系统 (MPSoC) 计算架构在物联网和消费电子产品中计算量大的工作负载中越来越受欢迎。在本次调查中，我们探索了物联网范式与其在 SC 中的应用之间的平衡，同时引入了无线传感器网络 (WSN)，包括 SN 的结构。我们根据架构和所涉及的通信技术等特性考虑了 MPSoC 系统。这提供了对将 MPSoC 与物联网耦合的好处的深入了解。这篇报告，还研究了流行的软件级能源优化技术，并广泛审查了自 2001 年至今的工作负载映射和调度方法，以使用 (1) 动态电压和频率缩放 (DVFS) 和/或动态电源管理 (DPM) (2) 处理器间通信减少 (3) 与 DVFS 集成的粗粒度软件流水线。本文建设性地总结了这些方法和算法的发现，确定了未来研究途径的深刻方向。