Energy conservation is one of the main problems in a wireless sensor network (WSN).
Compared with a single cluster head (CH), a dual CH optimization was proposed for less …

Reinforcement Learning (RL) has emerged as a promising approach for improving the
performance of Wireless Sensor Networks (WSNs). The Q-learning technique is one …

This paper proposes a novel distributed stochastic routing strategy using mobile sink based
on double Q‐learning algorithm to improve the network performance in wireless sensor …

Abstract Wireless Rechargeable Sensor Networks (WRSNs) powered by radio-frequency
radiation attract a lot of attention for their sustainability and convenience, etc. One focus is …

Abstract Wireless Sensor Networks (WSNs) an energy consumption is a significant
problematic due to the limited power resources of sensor nodes. Mobile Sinks (MS) rise the …

The data aggregation with the aid of mobile sink in wireless sensor networks (WSNs) is a
promising solution to the recent hot-spot or sink-hole issues induced by multi-hop routing …

The multi-objective particle swarm optimization algorithm has several drawbacks, such as
premature convergence, inadequate convergence, and inadequate diversity. This is …

Data gathering is an active research topic for wireless sensor networks WSNs with internet
of things IoTs. For nodes with limited resources, optimal data collection offers effective …