Abstract

Random access protocols are a key feature of a family of emerging communication networks such as machine-to-machine, radio frequency identification (RFID), and sensor networks. To accommodate the needs of such networks with a massive number of uncoordinated devices, new random multiple access (MAC) protocols have been proposed that aim to improve the system efficiency by resolving collisions in the received signal. In this work, we consider one of such protocols, called frameless ALOHA, and propose two techniques to improve its energy efficiency without sacrificing the network throughput. More specifically, we propose mechanisms to adaptively control the access probability at the users. The proposed mechanisms are local and like the original frameless ALOHA, no coordination between the users is needed. Our simulation results verify the improvement achieved in the energy efficiency by the proposed techniques.

Highlights

  • Most communication networks consist of a number of users sharing a common medium for data communication

  • Numerical results show that our proposed schemes significantly improve the energy efficiency of the network by reducing the average number of transmissions per time slot

  • 7 Conclusions In this work, we focused on improving the energy efficiency of frameless slotted ALOHA

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Summary

Introduction

Most communication networks consist of a number of users sharing a common medium (channel) for data communication. Accommodating the needs of emerging wireless applications (e.g., radio frequency identification (RFID), machine-tomachine (M2M), and wireless sensor networks), poses new challenges in MAC design and further modifications on ALOHA are needed [2, 3]. In such networks, there often exist a large number of uncoordinated battery-powered devices with power resources. This necessitates devising random MAC protocols that are energy-efficient yet have high enough throughput to handle the traffic load. Rahimian et al EURASIP Journal on Wireless Communications and Networking (2016) 2016:186

State of the art on ALOHA protocol
Adaptive probability of access with fixed step size
Analysis of the average access probability
Simulation results
Findings
Conclusions
Full Text
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