Browse by author
Lookup NU author(s): Sameer Alsudany,
Professor Said Boussakta,
Dr Martin Johnston
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2018 IEEE. Internet embedded sensor nodes have attracted the attention of researchers and industry due to their wide application. The main standard, IEEE802.15.4e 2012, introduces a deterministic and synchronous multi-channel extension (DSME) model. Three main issues should be tackled and improved with this model; a high energy consumption of end nodes during the contention access period (CAP), a long association and guaranteed time slot (GTS) earning times during a network initialization phase and a long network discovery time. These issues have been analysed and improved in a star topology wireless sensor network (WSN). Four scenarios with different numbers of nodes are investigated. Nodes numbers are set according to network saturation ratios (25%, 50%, 75%, and 100%). This paper proposes three enhancements for the performance of this model. Two new approaches are proposed to reduce the energy consumption of end nodes during the CAP period, a new association scheme during network initialization phase using a tight TDMA algorithm to minimize the time required for association and getting a GTS slot and reduce power consumption due to collisions, and a new technique to reduce network discovery time. Simulation results show significant improvements in reducing energy consumption and radio duty cycle (RDC) of end nodes by a factor of (71) and (77) respectively. Good improvements are also achieved in reducing association and GTS earning times by a factor of (8) on average. Finally, network discovery time has been reduced for fast association and further energy saving of end nodes.
Author(s): Alsudany SK, Boussakta S, Johnston M
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: International Conference on Ubiquitous and Future Networks, ICUFN
Year of Conference: 2018
Online publication date: 16/08/2018
Acceptance date: 03/07/2018
Publisher: IEEE Computer Society
Library holdings: Search Newcastle University Library for this item