Data Aggregation in Wireless Sensor Networks

Abstract

Abstract-In order to solve the problem of low efficiency and high energy consumption in data processing, In this paper, for reducing the communication overhead of data aggregation, we put forward a cluster division based data aggregation scheme for wireless sensor networks in which the cluster is divided into three subareas and some report nodes are assigned to each subarea. Simulation results show that, compared with LEACH algorithm, BP neural network and PSO-BP algorithm, more than 50% lower compression error is decreased and the simplicity of the improved algorithm makes it suitable for massive and the long term environmental monitoring network.

Effects of soil physics, chemistry, and microbiology on soil carbon sequestration in infertile red soils after long‐term cultivation of perennial grasses

“…In The PLS-PM model showed that pH was a key factor affecting soil chemical fractions, soil microbe traits, and soil C sequestration (Figure 7). Previous studies demonstrated that both fungal and bacterial communities are sensitive to changes in soil pH, especially cellulose-degradation-related genes (Luo, 2016;Ning et al, 2020). Moreover, labile C experiments consider soil pH the dominant factor affecting CO 2 emissions (Sheng & Zhu, 2018).…”

Peningkatan Kinerja Protokol PEGASIS Dengan Pembagian Area Dan Pembentukan Chain Secara Adaptif

“…Sensor node dalam WSN memakai baterai sebagai sumber tenaganya dan biasanya disebarkan dalam lingkungan yang sulit dan ekstrim sehingga sulit untuk dilakukan pengisian ulang maupun pergantian sensor node ketika energinya habis sementara sensor node sendiri memiliki kapasitas dan daya yang sangat terbatas (Wang et al, 2018) (Rana, Vhatkar & Mohommad Atique, 2015) (Khan et al, 2015) (Fallo, Wibisono & Kun Nursyaful Priyo Pamungkas, 2019). Oleh karena itu, cara untuk memperpanjang masa hidup dan juga untuk mengurangi konsumsi energi dari sensor node ini masalah yang sangat penting dalam bidang WSN (Ramluckun & Bassoo, 2018) (Li, 2016).…”