An Optimized Data Obtaining Strategy for Large-Scale Sensor Monitoring Networks

Abstract

As the technology of the Internet of Things (IoT) becomes more widely used in large-scale monitoring networks, this paper proposes an optimized obtaining strategy (OFS) for large-scale sensor monitoring networks. First, because of the large-scale features of sensor node network, this paper proposes a large-scale monitoring network area clustering optimization strategy. Second, based on the characteristics of regular changes in the sensed data in large-scale monitoring networks, this paper proposes a strategy for acquiring sensor data based on an adaptive frequency conversion. The OFS optimization strategy can prolong network lifetime, reduce the transmission bandwidth resources, and reduce average energy consumption of the cluster head and network energy consumption.

Optimising energy in distributed phenomena detection for mobile WSN

“…The work of Al Aghbari et al [11] is an improvement of [10] in which a distributed scheme is used to reduce the energy cost. In [12], Wang et al proposed two strategies to reduce the energy consumption of the network. An approach for reducing network energy consumption by reducing the amount of transmitted data through compression is proposed by Chen et al .…”

“…The work of Al Aghbari et al [11] is an improvement of [10] in which a distributed scheme is used to reduce the energy cost. In [12], Wang et al…”