Robust Load Balancing Scheme in WSNs

In Wireless Sensor Networks (WSNs), the sensor nodes have a limited lifetime, and it is necessary to maximize their lifespan for sustainable network functionality. The efficiency of routing and clustering can play a vital role in achieving this goal. The paper we are referring to in this context has employed a novel approach using Spotted Hyena Optimization to address the challenges associated with routing and clustering in WSN. This approach has shown promising results in extending the network's lifetime by effectively balancing the load among the sensor nodes. This innovative method can pave the way for a more efficient and sustainable WSN architecture, opening new avenues for research and development. Overall, this paper provides a robust solution to a pressing problem in the WSN domain and demonstrates the significance of innovative approaches in tackling complex challenges.