Beamforming Optimization in Internet of Things Applications Using Robust Swarm Algorithm in Conjunction with...

Area of Science:

• Electrical Engineering
• Computer Science
• Signal Processing
• Optimization Algorithms

Background:

• Integration of Internet of Things (IoT) with Wireless Sensor Networks (WSNs) is crucial for applications like smart grids and industrial operations.
• Random deployment of sensors in WSNs necessitates studying beamforming in random geometric topologies.
• Existing beamforming methods face challenges in optimizing antenna arrays for complex network environments.

Purpose of the Study:

• To introduce a novel algorithm, Canonical Swarm Optimization (CPSO), for Collaborative Beamforming (CB) synthesis.
• To optimize virtual sensor antenna arrays for maximum mainlobe gain and minimum sidelobe levels (SLL).
• To achieve controlled nulls in the beampattern and enhance network connectivity through a node selection scheme.

Main Methods:

• Development of the Canonical Swarm Optimization (CPSO) algorithm for synthesizing virtual sensor antenna arrays.
• Optimization of current excitation weights for uniform and non-uniform interelement spacings.
• Implementation of a node selection scheme based on network connectivity for Collaborative Beamforming (CB).

Main Results:

• The proposed CPSO algorithm achieves significant reduction in sidelobe levels (SLL) compared to conventional beamforming, Genetic Algorithm (GA), and Particle Swarm Optimization (PSO).
• Effective control of nulls in the beampattern is demonstrated.
• Increased mainlobe gain directed towards the desired base station is achieved when using CPSO with the node selection technique in CB.

Conclusions:

• CPSO offers a superior approach for Collaborative Beamforming (CB) in WSNs, outperforming existing optimization techniques.
• The algorithm effectively optimizes virtual antenna arrays for improved signal reception and interference mitigation.
• The node selection scheme enhances the practical applicability of CB in random network topologies for IoT applications.