ABSTRACT
The application of wireless sensor networks (WSNs) has grown widely in today’s world. Even with the coming of IoT, WSN has not diminished but in fact it has hugely benefited by this new technology. Nowadays, IT giants like Microsoft have come up with WSN and IoT applications. The scope of WSN has grown from merely being a research topic, to being the basis of several missions and life-critical systems such as health monitoring system, security system for border control, smart city surveillance system, and industrial drill temperature monitoring system (oil wells). For mission-critical systems where the WSN nodes are mobile, there is an additional need for localizing the nodes accurately without overheads. Over the decades, much work has been done to crack the issue;however, scope still remains. Recent COVID-19 has thrown unprecedented challenges on human survival. Primary education givers have also been rattled, as parents are apprehensive of sending their small children to schools, as young children are unable to themselves tell their givers if they feel unwell. In order to provide reassurance to the parents, we propose to build mobile WSN system, which would involve the children wearing WSN-based bands, which shall capture their health-related data, while they are inside the same premises of their schools and send it for further real-time processing to IoT-based cloud environment, so that the health of a student can be monitored live, and the data sent to parents for their comfort. Such a system would require mobile WSN-based localization algorithm, which would in minimum time period fulfill the goal. This paper proposes a data mobile WSN which uses nature-inspired algorithm to localize the nodes correctly using MVCRSA (Multi-verse Crow search algorithm for localization, which has through simulation provided successful results). © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.