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...

One of the most important and typical application of wireless sensor networks (WSNs) is target tracking. Although target tracking, can provide benefits for large-scale WSNs and organize them into clusters but tracking a moving target in cluster-based WSNs suffers a boundary problem. The main goal of this paper was to introduce an efficient and novel mobility management protocol namely Target Tr...

Advances in low-power electronics design and wireless communication have enabled the development of low cost, low power micro-sensor nodes. These sensor nodes are capable of sensing, processing and forwarding which have many applications such as underwater networks. In underwater wireless sensor networks (UWSNs) applications, sensors which are placed in underwater environments and predicted ena...

Wireless Sensor Networks (WSNs) are gaining importance for their broad range of commercial applications such as in home automation, health-care and industrial automation. In these applications multi-vendor and heterogeneous sensor nodes are deployed. Due to strict administrative control over the WSN domains, communication barrier, conflicting goal & economic interest of different vendors of sen...

Secure time synchronization is one of the key concerns for some sophisticated sensor network applications. Most existing time synchronization protocols are affected by almost all attacks. In this paper we consider heterogeneous sensor networks (HSNs) as a model for our proposed novel time synchronization protocol based on pairing and identity based cryptography (IBC). This is the first approach...

Service discovery in heterogeneous Wireless Sensor Networks is a challenging research objective, due to the inherent limitations of sensor nodes and their extensive and dense deployment. The protocols proposed for ad hoc networks are too heavy for sensor environments. This paper presents a resourceaware solution for the service discovery problem, which exploits the heterogeneous nature of the s...

Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must ...

Wireless Sensor Network (WSN) consists of hundreds or thousands of sensor nodes which have limited energy, computation and memory resources. WSNs are highly affected by the energy dissipation of the nodes. LEACH is a cluster based routing for sensor networks for efficient data collection problem where small numbers of clusters are being formed in a selforganized manner. In this paper the advanc...

Wireless Multimedia Sensor Networks (WMSNs) have entered the class of Wireless Sensor Networks to meet the multimedia requirements of new emerging applications, such as surveillance and telepresence. WMSNs commonly carry heterogeneous traffic with different Quality of Service (QoS) requirements. In this paper, the state of the art in QoS, protocols, Test beds, Simulators and the QoS requirement...