Connectivity and coverage are two crucial problems for wireless sensor networks. Several studies have focused on proposing solutions for improving and adjusting the initial deployment of a wireless sensor network to meet these two criteria. In our work, we propose a new hierarchical architecture for sensor networks that facilitates the gathering of redundancy information of the topology. Severa...

In this paper we focus on the application of reinforcement learning to obstacle avoidance in dynamic Environments in wireless sensor networks. A distributed algorithm based on reinforcement learning is developed for sensor networks to guide mobile robot through the dynamic obstacles. The sensor network models the danger of the area under coverage as obstacles, and has the property of adoption o...

This paper exploits sink mobility to prolong the lifetime of sensor networks while maintaining the data transmission delay relatively low. A location predictive and time adaptive data gathering scheme is proposed. In this paper, we introduce a sink location prediction principle based on loose time synchronization and deduce the time-location formulas of the mobile sink. According to local clock...

In wireless sensor network (WSN), data gathering causes more energy consumption. Also most of the existing literature work on data gathering process considers only distance and node density and skips reliability criteria. Hence in order to offer both reliability and energy efficiency, in this paper, we propose to design a Mobile Sink Based Reliable and Energy Efficient Data Gathering technique ...

In order to improve energy efficiency and decrease network delay in wireless sensor network applied to emergent event monitoring, a new data gathering algorithm based on mobile agent and event-driven is proposed for cluster-based wireless sensor network. The process of dynamically clustering the sensor nodes is based on the event severity degree, by which the scale and lifetime of clusters are ...