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May 31, 2011 · In this paper, a new model with energy and monitored objects heterogeneity is proposed for heterogeneous wireless sensor networks. We put ...
Energy-Efficient Prediction Clustering Algorithm for Multilevel ...
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In designing wireless sensor networks, it is important to reduce energy dissipation and prolong network lifetime. This paper presents research on the ...
Abstract: In designing wireless sensor networks, it is important to reduce energy dissipation and prolong network lifetime. In this paper, a new model with ...
This paper presents research on the existing clustering algorithm applied in heterogeneous sensor networks and then puts forward an energy-efficient prediction ...
Simulation results show that compared with current clustering algorithms, this algorithm can achieve longer sensor network lifetime, higher energy efficiency ...
An energy-efficient prediction clustering algorithm is put forward, which is adaptive to sensor networks with energy and objects heterogeneous, ...
In designing wireless sensor networks, it is important to reduce energy dissipation and prolong network lifetime. This paper presents.
Oct 22, 2024 · Our results show by simulation that E-BEENISH can improve system lifetime by an order of magnitude compared to obtained using current clustering ...
Cluster head election is a key technique used to reduce energy consumption and enhancing the throughput of wireless sensor networks.
Tang Liu, Jian Peng, Jin Yang, Chunli Wang: Energy efficient prediction clustering algorithm for multilevel heterogeneous wireless sensor networks.