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Enhancements of IEEE802.15.4e DSME Model of Wireless Sensor Networks

Lookup NU author(s): Sameer Alsudany, Professor Said Boussakta, Dr Martin Johnston


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© 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.

Publication metadata

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

Pages: 426-431

Online publication date: 16/08/2018

Acceptance date: 03/07/2018

Publisher: IEEE Computer Society


DOI: 10.1109/ICUFN.2018.8436600

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538646465