![]() ![]() The book also introduces a novel scheduling algorithm called the "long hop" (LH) which assigns high priority to messages coming from sensor nodes that are located farthest away and have accessed a high number of hops, to be served first at CH nodes. The cluster head (CH) node selection is based on transmission distances to the base station (BS) with the nearest node to the BS in a sub-cluster elected as CH node for that sub-cluster. The interference measurement approach is adopted to select the next-hop node. This book presents a new routing technique that considers the transmission distances from one node to all neighbouring nodes within its transmission range. ![]() This is due to the adverse effects caused by overhearing and interference. Increasing the number of neighbour nodes around a node has a negative impact on the network lifetime of WSNs. However, significant improvement is still required and this study has produced algorithms which have been shown to reduce energy consumption and prolong network life. But these networks have limited energy (battery) resources and energy-saving has become a pressing need in such networks and there have been increasing efforts to minimise energy consumption via message scheduling, optimal routing, clustering formation, aggregation techniques, etc. The wireless sensor network (WSN) is a promising wireless communication system for enabling IoT networks. ![]() Internet of Things (IoT) is having a major impact on the digital world and how we interact with the internet. Lastly, a real-world case study (i.e., seismic) is presented that leverages the edge storage and computing framework to acquire, transmit, store, and process millions of samples of data per hour. We present details regarding the architecture, distributed database, embedded systems, and topology used to implement an edge-based solution. The framework includes a popular distributed database to support the acquisition, transmission, storage, and processing of Internet-of-Things-based sensor network data in a field setting. In this paper, we present an edge storage and computing framework leveraging commercially available components organized in a tiered architecture and arranged in a hub-and-spoke topology. Edge computing has emerged as a paradigm in which substantial storage and computing resources are located at the “edge” of the network. The transmission of large volumes of sensor data to a centralized location (i.e., the cloud) burdens network resources, introduces latency and jitter, and can ultimately impact user experience. However, the challenges of acquiring, transmitting, storing, and processing remote environmental data remain significant. Recent technological advances have reduced the complexity and cost of developing sensor networks for remote environmental monitoring. Thus, this manuscript aims to provide an updated and valuable overview for researchers, consumers, and stakeholders regarding implementing smart and sustainable technologies for water resource management, primarily for building-scale uses. Water is an all-important need of all living beings, and the concerns of its scarcity impose a transition to innovative and sustainable management starting from the building scale. One of the main challenges is resource-saving and recovery. By this approach, smart buildings represent an innovative solution that enhances a city’s sustainability and contributes to overcoming environmental challenges due to increasing population and climate change. Data collected with smart water devices are being integrated with building management systems to show how much water is used by occupants as well as to identify the consumption areas to use water more efficiently. In this context, smart water management technology provides the data and tools to help users more effectively manage water usage. The latest progress in information and communication technology (ICT) and the Internet of Things (IoT) have opened up new opportunities for real-time monitoring and controlling of cities’ structures, infrastructures, and services. ![]()
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