Abstract

In a Wireless sensor network, network lifetime plays a vital role, wherein regular communication and sensor nodes are positioned at different points. Nodes energy depletion may lead to communication interruption due to unlimited data flow from one point to another; for adequate communication, Nodes energy should be maximized by arranging cutting-edge techniques such as adaptive buffer switching and congestion control significant role. When the incoming data is more wide-ranging than available resources, a congestion situation arises. It results in energy consumption, loss of packets, buffer overflow, and raises end-to-end delay. In this paper, adaptive buffer switching and Congestion Control management are done effectively. Simultaneously, congestion detects based on residual energy, residual buffer space, and sensor nodes conviction level. This methodology shows based on the evaluation of cost, which selects main and spare buffers adaptively. Dynamic buffer switching and swapping are used to enhance the outcome of congestion. Result of the ABETCC approach is compared with the protocol like TCEER and TFCC compared to the data loss ratio and energy consumption

Highlights

  • Wireless sensor network (WSN) node points can sense physical phenomena [1] in a hostile environment

  • Adaptive Buffer tradeoff, energy-aware and Trust-based Congestion Control protocol (ABETCC) In Wireless Multimedia Sensor Network (WMSN), for a broad and continuous flow of data this protocol relies on the sensor node's remaining resources, buffer, and trust level

  • The proposed adaptive congestion control protocol for Buffer switching, Energy-aware and Trust-based Congestion Control (ABETCC) is intended to manage a broad The movement of data from the source to the destination is an essential component of a supply chain processes

Read more

Summary

Introduction

Wireless sensor network (WSN) node points can sense physical phenomena [1] in a hostile environment. The endless and vast amount of data transmission from the source to the destination [2] is needed by many WMSN applications. Congestion occurs in the network if such a situation arises [3]. It results in queuing delay, packet loss, and increase network overhead. The contribution of this paper is presented by proposing two efficient approaches to manage network congestion. The proposed ABETCC protocol manages the broad and continuous flow of data to the destination from the source. This protocol relies on the confidence level of the sensor node, remaining buffer space, and remaining energy.

Related Work
Performance evaluation
The number of packets lost in a critical condition
Findings
Conclusion and Future Work
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call