Performance Advancement of Wireless Sensor Networks using Low Power Techniques and Efficient Placement of Nodes

TL;DR

This paper introduces combined ZigBee and IRS protocols with optimized node placement to significantly reduce power consumption and latency in wireless sensor networks through simulation-based evaluation.

Contribution

It proposes a novel integration of ZigBee and IRS protocols with optimized node placement strategies for enhanced energy efficiency in WSNs.

Findings

Power consumption reduced by 10-19% with proposed methods

Effective node placement improves congestion control

Simulation validates the efficiency of the combined protocols

Abstract

In this paper, we present optimization techniques for WSNs. Our main goal is to minimize the power consumption and latency. We address the problem of minimizing the energy consumption in WSNs including hardware. ZigBee protocol is used to design nodes on WSN to achieve a very low power consumption rate. Furthermore, we propose to use IRS protocol in WSN within a ZigBee technique to discover information from unaware locations and achieve efficiency of energy and sacrifices latency. Our main idea is to support WSNs with both ZigBee technique and IRS protocol. In addition, we address the problem of efficient node placement for congestion control in WSNs. Thus, we evaluate the performance of specific routing and some algorithms of congestion control when wireless sensor nodes are deployed under different placements of network. To demonstrate the strength of the used algorithms, our simulation in C# proves that ZigBee-IRS- ESRT-Flooding approaches reduce the power consumption from 10% to 19% when compared to existing techniques of low Power and node placement.