Sep 2026· Journal of Low Power Electronics and Applications· 0 citations· 21 references
TL;DR
A Priority-Aware Packet Aggregation/Piggybacking-Based (Priority + Packet Aggregation) Hybrid Energy-Efficient MAC (P2A-HMAC) protocol that integrates bit-mapped priority signaling with lightweight packet aggregation/piggybacking to reduce control overhead is proposed.
Abstract
Battery-powered IoT sensor nodes require energy-efficient Medium Access Control (MAC) protocols to extend network lifetime while supporting priority-sensitive traffic. This paper proposes a Priority-Aware Packet Aggregation/Piggybacking-Based (Priority + Packet Aggregation) Hybrid Energy-Efficient MAC (P2A-HMAC) protocol that integrates bit-mapped priority signaling with lightweight packet aggregation/piggybacking to reduce control overhead. The protocol classifies traffic into emergency, buffer-overflow, priority, and normal categories, providing guaranteed access to delay-sensitive data while minimizing radio activity, idle listening, and contention. A mathematical energy model is developed for both priority- and contention-based operations. MATLAB-based evaluation demonstrates that P2A-HMAC consistently achieves lower energy consumption than TDMA, EA-TDMA, ASHMAC, E-BMA, and P2A-HMAC across varying network sizes, packet sizes, and event-generation probabilities. The proposed protocol provides substantial energy savings, particularly in large-scale and moderate-traffic networks, while maintaining priority-aware communication and QoS, making it suitable for low-power IoT and wireless sensor network applications.
The increasing deployment of internet of things (IoT) low-power networks (LPNs) introduce a fundamental challenge in achieving low-latency communication while maintaining strict energy constraints under dynamic and heterogeneous traffic conditions. Existing medium access control (MAC) protocols either rely on rigid tim...
Efficient data dissemination in large-scale internet of things (IoT) networks remain challenging due to energy constraints, congestion, and delay under dynamic network traffic. This paper introduces a joint routing and medium access control (MAC)-layer scheduling framework (JRSM), incorporating priority-aware clusterin...
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Simulation results demonstrate that MPTS significantly enhances Quality of Service (QoS) by jointly optimizing delay, network utilization, and energy consumption, making it well suited for delay-sensitive and resource-constrained fog-enabled IoT applications.
Annu Malik, Rashmi Kushwah· Informatica· 0 citations
Evaluation on representative workloads demonstrates that P2CS achieves performance comparable to in-network mechanisms while significantly reducing complexity and cost, and requires minimal software changes making it readily deployable in today's datacenter infrastructure.
Ali Munir, Xiao-Lin Pang, Junyi Zhang· Conference on Applications,...· 0 citations
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