Data aggregation involves the integration of correlated data generated by various wireless
sensors and devices in WSN and IoT networks, in order to arrive at meaningful interpretation …

Conservation of energy has been a major concern for Wireless Sensor Networks (WSNs)
and IoT applications. Several strategies were devised, aimed at optimizing energy …

Clustering in LEACH and its successors has been proved to be effective for not only
improving energy efficiency but also extending network lifetime of wireless sensor networks …

In traditional Wireless Sensor Network routing protocols, data collected through timed
interval sensing tends to have high temporal redundancy, which leads to unnecessary …

Load balancing in IoT-based Wireless Sensor Networks (WSNs) is essential for improving
energy efficiency, reliability, and network lifetime, promoting the development of smart and …

Through wireless communication, wireless sensor networks (WSN) have changed the
communication media. But limitations in WSN are a result of the difficulties in replacing node …

Synthetic data is essential for assessing clustering techniques, complementing and
extending real data, and allowing for more complete coverage of a given problem's space. In …

abstract Data aggregation involves the integration of correlated data generated by various
wireless sensors and devices in WSN and IoT networks, in order to arrive at meaningful …

Wireless sensor networks composed of a huge number of sensor node with the capability to
sense, collect and process data in the physical environment. The sensors are usually battery …

Wireless sensor networks contain of many sensors that can serve as powerful tools for data
collection in environments. A key challenge in these networks is the limited lifetime of sensor …