A Study on Congestion control in WSN using Dynamic alternative path selection approach

Vadivel, M.; Ali, Abdul; Sivakumar, Dr. V.G.

doi:10.1109/i-smac.2018.8653743

Cited by 1 publication

(1 citation statement)

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“…CODA uses an efficient congestion detection on every lowpriced recipient to derive a combination of present and past channel load and current buffer occupancy [41]. Since the transmitters are shared and traffic between other devices is congested in the neighbourhood [42], the channel state must be recognized by sensor networks. When the channel is listened to in order for local loading to be measured, the cost of energy is high.…”

Section: Collision Minimizationmentioning

confidence: 99%

Approach for Collision Minimization and Enhancement of Power Allocation in WSNs

et al. 2021

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Wireless sensor networks (WSNs) have attracted much more attention in recent years. Hence, nowadays, WSN is considered one of the most popular technologies in the networking field. The reason behind its increasing rate is only for its adaptability as it works through batteries which are energy efficient, and for these characteristics, it has covered a wide market worldwide. Transmission collision is one of the key reasons for the decrease in performance in WSNs which results in excessive delay and packet loss. The collision range should be minimized in order to mitigate the risk of these packet collisions. The WSNs that contribute to minimize the collision area and the statistics show that the collision area which exceeds equivalents transmission power has been significantly reduced by this technique. This proposed paper optimally reduced the power consumption and data loss through proper routing of packets and the method of congestion detection. WSNs typically require high data reliability to preserve identification and responsiveness capacity while also improving data reliability, transmission, and redundancy. Retransmission is determined by the probability of packet arrival as well as the average energy consumption.

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Section: Collision Minimizationmentioning

confidence: 99%