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Wireless sensor networks (WSN) are widely used to sense and measure physical conditions for different purposes and within different regions. However due to the limited lifetime of the sensor's energy source, many efforts are made to design energy efficient WSN. As a result, many techniques were presented in the literature such as power adaptation, sleep and wake-up, and scheduling in order to enhance...
The effective use of vast amounts of collected data in the wireless sensor network requires scalable and energy-efficient algorithms. A provided solution is the data-centric storage which itself suffers from the hot-spot problem. This problem occurs when the mass of sent queries and events to a particular node is more than the capacity of that node. In this paper a hybrid method has been offered which...
A typical problem in wireless sensor networks is how to collect and send historical information from all sensor nodes to the base station. As the available energy of these nodes is a critical resource, it is typically not feasible to transmit a full-resolution data feed from each sensor node to the base station. Therefore, it is important to apply techniques of data reduction so that fewer bits can...
Sink mobility has become an increasingly important requirement of various sensor network applications. Handling such mobile sink conditions brings new challenges to large-scale sensor networking. This investigation proposed a hybrid-structure routing protocol (HSRP) that combines the benefits of grid-based and cluster-based structures. Grid-based structure is designed to solve the cluster head selection...
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