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 …

Limited energy in each node is the major design constraint in wireless sensor networks
(WSNs). To overcome this limit, wireless rechargeable sensor networks (WRSNs) have been …

Energy constraint is a critical issue in the development of wireless sensor networks (WSNs)
because sensor nodes are generally powered by batteries. Recently, wireless rechargeable …

In wireless sensor networks (WSNs), the sensed data by sensors need to be gathered, so
that one very important application is periodical data collection. There is much effort which …

Abstract In Wireless Sensor Networks (WSNs), effective transmission with acceptable
degradation in the power of sensor nodes is a key challenge. In a large network, holdup is …

Battery-Free Wireless Sensor Networks (BF-WSNs) have been attracting increasing interests
in the recent years. To reduce the latency in BF-WSNs, the Minimum Latency Aggregation …

Data collection is one of the most important operations in applications of wireless sensor
networks (WSNs). In many emerging WSN applications, it is urgent to achieve a guarantee …

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

In wireless sensor networks (WSNs), the problem of reporting data to the sink with minimum
latency has been widely discussed in many research works. Many studies address on using …

In-network data aggregation is an inherent paradigm that extends the lifetime of resource-
constrained wireless sensor networks (WSNs). By aggregating sensor data at intermediate …