Two Dimensional Swarm Formation in Time-invariant External Potential: Modelling, Analysis, and Control

TL;DR

This paper introduces a novel approach for energy-efficient wireless sensor networks by modeling sensor clustering as swarm formation in a static external potential, eliminating data transmission to conserve energy.

Contribution

It presents a new swarm formation model, analyzes the external potential's influence, and develops a dynamic control algorithm for maintaining formations without data transmission.

Findings

Swarm formation adapts to external potential changes.

Elimination of data transmission conserves energy.

Dynamic control maintains formation stability.

Abstract

Clustering formation has been observed in many organisms in Nature. It has the desirable properties for designing energy efficient protocols for Wireless Senor Networks (WSNs). In this paper, we present a new approach for energy efficient WSNs protocol which investigate how cluster formation of sensors response to external time-invariant energy potential. In this approach, the necessity of data transmission to Base Station is eliminated, thereby conserving energy for WSNs. We define swarm formation topology, and estimate the curvature of external potential manifold by analyzing the change of the swarm formation in time. We also introduce a dynamic formation control algorithm for maintaining defined swarm formation topology in external potential.