The sensor deployment problem of wireless sensor networks (WSNs) is a key issue in the researches and the applications of WSNs. Fewer works focus on the 3D autonomous deployment. Aimed at the problem of sensor deployment in three-dimensional spaces, the 3D self-deployment (3DSD) algorithm in mobile sensor networks is proposed. A 3D virtual force model is utilized in the 3DSD method. A negotiati...

Sensor deployment problem is one of the important problems in Wireless Sensor Networks (WSN) since it represents the first phase that most of the network operations depends on. Sensor deployment strategies can be classified into two classes which are deterministic and autonomous (random) deployment. In the deterministic deployment, the deployment field is assumed accessible as well as the numbe...

Heterogeneous wireless sensor network (heterogeneous WSN) consists of sensor nodes with different ability, such as different computing power and sensing range. Compared with homogeneous WSN, deployment and topology control are more complex in heterogeneous WSN. In this paper, a deployment and topology control method is presented for heterogeneous sensor nodes with different communication and se...

This paper studies wireless sensor networks node deployment problem and proposes intelligent single particle optimizer based wireless sensor networks adaptive coverage. According to the probability model measure characteristic of wireless sensor nodes, the method adaptively determines the optimal deployment of sensor nodes using intelligent single particle optimizer, achieving sensor node based...

Wireless sensor network (WSN) is nowadays being applied in many different civilian applications like vehicle tracking, habitat monitoring, forest surveillance, earthquake observation, biomedical or health care applications and building surveillance. To a large extent the effectiveness of the wireless sensor networks depends on the coverage provided by the sensor deployment scheme. There are dif...

A location-aware scheme uses a priori knowledge of the deployed sensor nodes of some target field in a sensor network. Such location-aware schemes improve substantially higher network connectivity and resilience against node captures if the deployment error between the actual and expected locations of the deployed sensor nodes is smaller. The ideas of using pre-deployment and post-deployment kn...

Sensor network deployment and its maintenance are very challenging due to hostile and unpredictable nature of environments. The field coverage of a wireless sensor network (WSN) can be enhanced and consequently network lifetime can be prolonged by optimizing the sensor deployment with a finite number of sensors. In this paper, we propose an energy-efficient fuzzy optimization algorithm (EFOA) f...

Currently, wireless sensor network (WSN) is being applied in a lot of different applications. To a large extent the effectiveness of the WSNs depends on the exposure provided by the sensor deployment proposal. There are different deployment demands in different environment. Firstly, we cover the existing deployment method of sensor nodes (SNs) in WSN. We investigate random and deterministic sen...

A Wireless Sensor Network consists of several tiny devices which have the capability to sense and compute the environmental phenomenon. These sensor nodes are deployed in remote areas without any physical protections. A Wireless Sensor Network can have various types of anomalies due to some random deployment of nodes, obstruction and physical destructions. These anomalies can diminish the sensi...