This study addresses the under-explored problem of collaborative, intra-WBAN task allocation, in which neighbouring sensors jointly execute portions of a decomposed biomedical workload instead of processing tasks in isolation or offloading them entirely to a hub.
The proliferation of computation-intensive biomedical applications has made energy efficiency a critical bottleneck in Wireless Body Area Networks (WBANs). This study addresses the under-explored problem of collaborative, intra-WBAN task allocation, in which neighbouring sensors jointly execute portions of a decomposed...
Nabeel Abdulrazaq Yaseen, Mohammed Tali Almalchy, Sara Faez Abdulghani et al.· HighTech and Innovation Jour...· 0 citations
A unified optimization framework that integrates Dinkelbach fractional programming, a rigorously derived weighted minimum mean square error (WMMSE) reformulation, second-order cone programming (SOCP), and Riemannian manifold optimization within a provably convergent alternating structure is developed.
I. Hburi, A. Abdulameer, N. Abbas et al.· Journal of Communications So...· 0 citations
This work develops a multi-agent proximal policy optimization (MAPPO) algorithm to achieve a long-term optimal tradeoff between energy consumption and latency and demonstrates that under identical hyperparameter settings and training episodes, MAPPO achieves stable convergence and outperforms other MADRL baselines.
Wireless sensor networks face a fundamental trade-off between energy efficiency and operational cost, where improving one typically degrades the other. Existing approaches treat these objectives in isolation, lacking unified frameworks for systematic trade-off analysis. This paper presents a Pareto-frontier framework t...
Che Liu, Ning Chen· Discover Computing· 0 citations
A total of €30m, comprising public and private funding, has been awarded by the Dutch funding agency NWO to a consortium that aims to accelerate research, innovation, and application of neuromorphic technologies. Modern computing faces a critical sustainability challenge, as data centres and emerging technologies,...
Beatriz Noheda· The Innovation Platform· 0 citations
This paper investigates the enhancement of energy efficiency (EE) in a Multi-Input Single-Output (MISO) system under Rician fading channels using Reconfigurable Intelligent Surfaces using Reconfigurable Intelligent Surfaces (RIS).
H. Al-Tayyar, S. Ayoob· Journal of Communications So...· 0 citations
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