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Prof. Ahmed Abouelyazed Elsawy Ali :: Publications:

Title:
IDCT: Intelligent Data Collection Technique for IoT-Enabled Heterogeneous Wireless Sensor Networks in Smart Environments
Authors: Walid Osamy, Ahmed Salim, Ahmed M Khedr, Ahmed A El-Sawy
Year: 2021
Keywords: Not Available
Journal: IEEE Sensors Journal
Volume: 21
Issue: 18
Pages: 21099 - 21112
Publisher: IEEE
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

Wireless Sensor Networks (WSNs) lend themselves to a wide variety of applications in our daily lives, such as environmental monitoring, safety, health-care, animal monitoring, etc. However, one of the key issues in WSN is energy constraints. This makes energy-conservation one of the major keys to the efficient functioning and lifetime of WSN. In this paper, given a network of nodes with heterogeneous energy, our goal is to determine energy-aware disjoint dominating sets (DSs) that work as data collection nodes in each round, to improve overall WSN lifetime. In order to accomplish this goal, we propose an intelligent data collection technique with two phases, the collector nodes selection, and the data gathering path formation and collection phases. In the collector nodes selection phase, an energy-aware algorithm based on swarm intelligence

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