2020
DOI: 10.12694/scpe.v21i2.1672
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An Efficient Dynamic Slot Scheduling Algorithm for WSN MAC: A Distributed Approach

Abstract: In the current scenario, the growth of IoT based solutions gives rise to the rapid utilisation of WSN. With energy constraint sensor nodes in WSN, the design of energy efficient MAC protocol along with timeliness requirement to handle collision is of paramount importance. Most of the MAC protocols designed for a sensor network follows either contention or scheduled based approach. Contention based approach adapts well to topology changes, whereas it is more costly in handling collision as compared to a schedul… Show more

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Cited by 4 publications
(4 citation statements)
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“…In the design problem of MAC protocol which considers energy, delay and collision issues, detailed work is done in [22]. The authors find an answer for finding a suitable schedule for a wireless sensor network where the density of sensor nodes can be changed from region to region because of the non-uniform deployment of nodes.…”
Section: Related Workmentioning
confidence: 99%
“…In the design problem of MAC protocol which considers energy, delay and collision issues, detailed work is done in [22]. The authors find an answer for finding a suitable schedule for a wireless sensor network where the density of sensor nodes can be changed from region to region because of the non-uniform deployment of nodes.…”
Section: Related Workmentioning
confidence: 99%
“…Here, ABDC-SMAC, EA-MAC [12] and S-MAC [2] protocol are compared and analyzed in NS-2 platform. 24 nodes are deployed randomly in an area of 2 500 500m  .…”
Section: Performance Analysismentioning
confidence: 99%
“…The wireless sensor network has the advantages of flexible networking, easy expansion, and strong self-recovery capability. The energy-efficient Medium Access Control (MAC) protocol determines the access mode of the wireless channel, affecting the transmission delay and data accuracy of the wireless network directly [1], [2]. It is one of the core technologies for energy optimization and has a greater performance for wireless networks.…”
Section: Introductionmentioning
confidence: 99%
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