Path Planning for Mobile Data Collectors in Future Cities *
Wireless Sensor Networks (WSNs) have evolved from supporting application-specific deployments such as habitat monitoring, health care, and retail supply chains, to enabling multiuser platforms that simultaneously support multiple applications operating in a large-scale Internet of Things (IoT) setup. Smart cities are examples of such applications that support multiuser access via multi-application platforms. The chapter proposes a Hybrid Genetic-based Path Planning (HGPP) approach that minimizes the number of required Data Collectors (DCs) and their associated traveling lengths while collecting data in a smart city setup. The DCs are mostly powered by a low energy battery, and hence are expected to have very low transmission power with limited memory and processing capabilities. The chapter then considers a multi-tier WSN framework with three main components: the Base Station (BS), Data Courier (DC), and the WSN Access Point in a smart city. The energy supply of a mobile DC can be unlimited or limited.