Wireless sensor networks are one of the emerging areas which have equipped scientists with the capability of developing real-time monitoring systems. This paper discusses the development of a wireless sensor network(WSN) to detect landslides, which includes the design, development and implementation of a WSN for real time monitoring, the development of the algorithms needed that will enable efficient data collection and data aggregation, and the network requirements of the deployed landslide detection system. The actual deployment of the testbed is in the Idukki district of the Southern state of Kerala, India, a region known for its heavy rainfall, steep slopes, and frequent landslides.

Government agencies, public institutions, and private companies in India have worked over six decades to empower Bottom of the Pyramid (BoP) or rural communities through various policies and interventions. Eighty-five percent of these technological interventions failed to create an impact as they lacked a holistic approach, scalability, sustainability, and effective interagency coordination. This paper discusses the successful implementation of interventions through Amrita University's Live-in-Labs™ program and proposes a model that ensures a co-design environment to develop technology-based interventions for rural development. The model aims to create a virtual ecosystem that will enable field practitioners, researchers, policymakers, and other stakeholders to plan, design, implement, and review scalable and sustainable interventions. The paper describes the key components of the model and investigates the sustainability, scalability, and impact of the technology interventions in the program's five main thematic areas - Infrastructure & Basic Facilities, Health & Livelihood, Education & Technology, Energy, and Environment & Farming - through a case study.

Water distribution systems are one of the critical infrastructures and major assets of the water utility in a nation. The infrastructure of the distribution systems consists of resources, treatment plants, reservoirs, distribution lines, and consumers. A sustainable water distribution network management has to take care of accessibility, quality, quantity, and reliability of water. As water is becoming a depleting resource for the coming decades, the regulation and accounting of water in terms of the above four parameters is a critical task. There have been many efforts towards the establishment of a monitoring and controlling framework, capable of automating various stages of the water distribution processes. The current trending technologies such as Information and Communication Technology (ICT), Internet of Things (IoT), and Artificial Intelligence (AI) have the potential to track this spatially varying network to collect, process, and analyze the water distribution network attributes and events. In this work, we investigate the role and scope of the IoT technologies in different stages of the water distribution systems. Our survey covers the state-of-the-art monitoring and control systems for the water distribution networks, and the status of IoT architectures for water distribution networks. We explore the existing water distribution systems, providing the necessary background information on the current status. This work also presents an IoT Architecture for Intelligent Water Networks - IoTA4IWNet, for real-time monitoring and control of water distribution networks. We believe that, these components need to be designed and implemented effectively to build a robust water distribution network.