MX-MAC: A multichannel based low latency asynchronous MAC protocol for wireless sensor networks

Mustafa Kamal, Shafika Showkat Moni, Mohammad Shah Alaml

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper we propose a Multichannel based XMAC protocol (MX-MAC) with the objective of eliminating hidden node problem of existing asynchronous X-MAC protocol, as well as reducing average packet delay. To address the hidden terminal problems, multi channel enables a receiver to send a preamble with next receiver ID on the control channel to notify its neighbors that an ongoing reception is in progress and alert intended next hop neighbor to wake up on time as well as to forward received data to next hop without sending any additional preamble. As a result, packet collisions are reduced with an increase of network throughput. We compare our algorithm with X-MAC and X-MAC/CA. Simulation results show that the proposed technique can significantly improve the throughput as well as can reduce average packet delay.

Original languageEnglish
Title of host publicationProceedings of 9th International Conference on Electrical and Computer Engineering, ICECE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages439-442
Number of pages4
ISBN (Electronic)9781509029631
DOIs
StatePublished - 13 Feb 2017
Event9th International Conference on Electrical and Computer Engineering, ICECE 2016 - Dhaka, Bangladesh
Duration: 20 Dec 201622 Dec 2016

Publication series

NameProceedings of 9th International Conference on Electrical and Computer Engineering, ICECE 2016

Conference

Conference9th International Conference on Electrical and Computer Engineering, ICECE 2016
Country/TerritoryBangladesh
CityDhaka
Period20/12/1622/12/16

Keywords

  • Analytical modeling
  • MAC
  • Markov model
  • Multichannel MAC
  • X-MAC

Fingerprint

Dive into the research topics of 'MX-MAC: A multichannel based low latency asynchronous MAC protocol for wireless sensor networks'. Together they form a unique fingerprint.

Cite this