PRIB-MAC: a preamble-based receiver initiated MAC protocol for broadcast in wireless sensor networks

Anubhama, R; Rajendran, T.

doi:10.1007/s12046-020-1322-7

Cited by 2 publications

(1 citation statement)

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“…But these techniques perform poorly for broadcast traffic, as the broadcasting techniques like repeated unicast proposed in Asynchronous Duty cycle Broadcasting (ADB) and flooding lead to redundancy, increased latency, and energy consumption (Sun et al, 2009;Guo et al, 2011). Therefore, providing a solution for energy efficient broadcasting in low duty cycled networks is an important issue in WSN, which we have tried to address in our previous work PRIB-MAC (Anubhama & Rajendran, 2020b). As an alternative to repeated unicast for broadcasting, it employed short preambles as part of the receiver-initiated low duty cycle mechanism.…”

Section: Introductionmentioning

confidence: 99%

PRIB-CDS: An Energy Efficient Low Duty Cycle Broadcasting Scheme for Wireless Sensor Network

Ramasamy¹,

Thangavel²

2021

JST

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Low duty cycling is a widely adapted technique to conserve energy in the most used Medium Access Control (MAC) protocols in Wireless Sensor Networks (WSN). But such low duty cycle-based MAC protocols perform poorly under broadcast traffic as they suffer from redundant retransmission and maximization of relay nodes problems. Addressing these issues is critical, as the advent of IoT and ubiquitous computing applications has increased the demand for broadcast support. Our previous work, Preamble based Receiver Initiated Broadcasting MAC (PRIB-MAC) performed well in most parameters under broadcast traffic, but it had scope for improvement in reducing the number of transmissions. In this paper, we propose the PRIB-Connected Dominating Set (PRIB-CDS), built on top of PRIB-MAC with the addition of dynamic forwarding technique by forming a forwarding set with the help of Greedy algorithm. The simulation results of our proposed PRIB-CDS algorithm shows that it has reduced the number of transmissions significantly as it reduces forwarding nodes and balances the energy between the nodes to avoid re-broadcasting the data.

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Section: Introductionmentioning

confidence: 99%