Elaris Computing Nexus
Energy-Aware Optimization of Communication and Computation in Indoor IoT Swarm Networks
Elaris Computing Nexus
Received On : 18 April 2026
Revised On : 26 June 2026
Accepted On : 02 July 2026
Published On : 29 July 2026
Volume 02, 2026
Pages : 133-144
Abstract
In this paper, we propose an Energy-Aware Cross-Layer Communication and Computation Optimization (EACCO) framework to maximize energy efficiency and operational lifetime of indoor Internet of Things (IoT) swarm robotic networks. The method takes into account energy harvesting, adaptive scheduling, communication and computation altogether in a single cross-layer optimization framework. Results of simulation show that EACCO reduced the energy consumed per day to 2.0-2.3 Wh/day and obtained the energy neutral ratio (ENR) of 1.05-1.18, increased the packet delivery ratio (PDR) to 95-97% and increased mission lifetime to 30-36 hours compared to other energy-only, EDF and FIFO schedulers under the same operating conditions. The results show the effectiveness of EACCO to design reliable, energy neutral and sustainable indoor IoT swarm robotic systems.
Keywords
Indoor Internet of Things, Swarm Robotics, Cross-Layer Optimization, Energy Harvesting, Energy Neutrality, Adaptive Scheduling, Communication Reliability, Wireless Sensor Networks.
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Cite this Article
Abdollah Khunjush, “Energy-Aware Optimization of Communication and Computation in Indoor IoT Swarm Networks”, Elaris Computing Nexus, pp. 133-144, 2026, doi: 10.65148/ECN/2026011.
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© 2026 Abdollah Khunjush. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.