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The use of Wireless sensor network is to monitor an area for event detection. The sensor node have some limitation like the sensor node associated with battery power and generally it is not possible to recharge or replace battery of sensor due to large number of sensor node, node distribution in remote, desert or hostile areas etc. The energy consumption of sensor node appears a lot of challenges...
Wireless communication technology and the electronic systems advancements have laid the foundation of the wireless sensor network which achieves the growth of low-cost, low power and multi-functional sensor nodes which can be deployed on a single chip to communicate over a short range. The sensor node consists of sensing elements, actuator and a limited source of energy as battery. The major problem...
Wireless sensor network (WSN) consist of spatially distributed self-sufficient sensors nodes. Energy is the main bottleneck for wireless sensor networks and it has dominating effects on network lifetime. The Clustering is considered one of the powerful approaches for maximizing the life time of a wireless sensor network because of their better scalability and higher energy efficiency than other routing...
The existence of Internet, communications and information technologies, combined with recent Micro Electro Mechanical System advances, is leading the way for a new generation of low-cost sensors and actuators, which aim to achieve a high degree of spatial and temporal resolution and accuracy. The autonomous nature of sensor networks makes it of significant importance in various hazardous application...
In this paper we propose distributed algorithms that solve the coverage problem in 3D space. In particular, we use a swarm of unmanned aerial vehicles (UAVs) in order to explore a possibly unknown area. Actual use cases include the automated acquisition of sensory data in operations that try to gain extensive knowledge about an area. First, we try to efficiently cover a predefined 3D space with multiple...
Unmanned Aerial Vehicles (UAV) enable the in-depth reconnaissance and surveillance of major incidents. Uncontrolled emissions of liquid or gaseous contaminants in cases of volcanic eruptions, large fires, industrial incidents or terrorist attacks can be analyzed by utilizing UAVs. Hence, the use of cognitive Unmanned Aerial Systems (UAS) for distributing mobile sensors in incident areas is in general...
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