Skip to content
Open access

A Priority-Aware Piggybacking-Based Energy-Efficient MAC Protocol Using Bit Mapping

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.

Read PDF

Similar papers

Open access Oct 2026

Delay-aware energy-efficient slot scheduling medium access control for internet of things low-power networks

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...

Rajeshwari Kenchammana Hosakote Nanjappa Gowda, Suma Manuvinakurike Narasimha Sastry · 0 citations
Open access Oct 2026

Joint routing and clustered medium access control scheduling for energy-aware internet of things data dissemination

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...

Rajeshwari Kenchammana Hosakote Nanjappa Gowda, Suma Manuvinakurike Narasimha Sastry · 0 citations
Open access Sep 2026

Packet-Level Adaptive Forwarding with Multi-Cyclic Queues for Time-Sensitive Networks Using Delay Slack

Time-sensitive networking (TSN) aims to provide bounded latency and reliable delivery for critical applications. Existing cyclic queuing and forwarding (CQF)-based mechanisms commonly rely on centralized flow-level scheduling, path computation, and resource reservation, requiring prior knowledge of traffic demands and...

Zheng-Bo Dong, Rui Han · 0 citations
Open access Aug 2026

MPTS: A Multi-Queue Priority-Based Task Scheduling Algorithm to Reduce Delay in Fog Computing for Lightweight IoT Devices

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 · 0 citations
Book Open access Aug 2026

Simplifying Prioritization and Scheduling with P2CS

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 · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.