Abstract
As a matter of fact that the network traffic has a great influence on the binary exponential backoff mechanism, duty cycle mechanism, and fixed transmission power mechanism adopted by the Sensor Medium Access Control (S-MAC) protocol. The paper proposes an Adaptive Backoff and Duty Cycle for S-MAC protocol (ABDC-SMAC). In the backoff mechanism, considering the failure times of channel competitions, the length of buffer queue, and the node residual energy across the board, a cross-control backoff mechanism is proposed. In the duty cycle mechanism, the network traffic is judged by the average network flow factor. Based on the average network flow factor, the value of duty cycle can change around its initial value. In the power control mechanism, the minimum transmission power can be obtained by the Friis formula. At the same time, the exponential formula following the change of network traffic is selected and multiplied by the minimum transmission formula. The simulation results show that the performance of proposed ABDC-SMAC protocol is improved obviously on energy consumption and transmission delay.
Highlights
The wireless sensor network has the advantages of flexible networking, easy expansion, and strong self-recovery capability
For the contention window cannot adapt to the dynamic changes of network load, [10] proposes an Adaptive Backoff Queue Sensor Medium Access Control (S-Medium Access Control (MAC)) (ABQ-SMAC) protocol
In view of the shortcomings in above S-MAC protocol, this paper proposes an Adaptive Backoff and Duty Cycle
Summary
The wireless sensor network has the advantages of flexible networking, easy expansion, and strong self-recovery capability. For the contention window cannot adapt to the dynamic changes of network load, [10] proposes an Adaptive Backoff Queue S-MAC (ABQ-SMAC) protocol. The different thresholds should be set for the different network environments To solve this problem, the Mission Critical MAC (MC-MAC) protocol introduces a duty cycle factor, considering the residual energy, throughput, and packet delivery rate of nodes. The Adaptive Power Control based on send Queue Length (QLAPC) protocol uses the signalto-noise ratio of the node and the threshold of signal-to-noise ratio to determine the node minimum transmit power [17] This mechanism solves the problem of overflow queue buffer when the intermediate node forwards packets. It randomly selects a backoff time before the data packet is transmitted to the channel.
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