This paper describes a novel application of a probabilistic neural network for overcoming the computational complexity involved in performing sensor configuration management in a collaborative sensor network. We consider the problem of reliably tracking a target moving through a field of stationary sensors by fusing the measurements returned from the distributed array of sensors while conservin...

in recent years, demand for biological sensors which are capable of fast and accurate detection of minor amounts of pathogens inreal‑time form has been intensified. acoustic wave (aw) devices whose performance is determined by mass sensitivity parametersand quality factor are used in biological sensors as platforms with high quality. yet, current aw devices are facing many challengessuch as the...

We develop distributed algorithms for sensor networks that respond by directing a target (robot or human) through a region. The sensor network models the event levels sensed across a geographical area, adapts to changes, and guides a moving object incrementally across the network. We describe a device we call a Flashlight for interacting with the sensor field. This interaction includes collecti...

Sensing and coverage are the two relevant tasks for a sensor network. Quality of sensor network totally depends upon the sensing ability of sensors. In a certain monitored region success of detecting or sensing an object with the help of sensor network tells that how efficiently the network coverage perform. Here in this paper we have proposed a clustering algorithm for the deployment of sensor...

Wireless sensor networks (WSN) are becoming extremely attractive for both tele-communication and network industry. It is the promising technology to solve a large number of problems with its wide range of present and future applications possibilities. In this paper, we propose an efficient method based on Genetic Algorithms (GAs) to solve a sensor network optimization problem. Long communicatio...

A wireless sensor network consists of tiny sensing devices, with limited energy and processing ability. Some time we have to distribute a database on sensor network, because of limited energy in sensors, load balanced distributing database can increase the lifetime of this networks. In this paper we propose Fuzzy based approach for Load balanced distributing database on sensor Network that prol...

routing in wireless sensor networks (wsns) is a very challenging task due to the large number of nodes, their mobility and lack of proper infrastructure. since the sensors are battery powered devices, energy efficiency is considered as one of the main factors in designing routing protocols in wsns. most of energy-aware routing protocols are mere energy savers that attempt to decrease the energy...

Wireless Sensor and Actor Network (WSAN) refers to a group of sensors and actors linked by wireless medium to perform distributed sensing and acting tasks. In WSAN, sensors gather useful information about the physical world, while actors take decisions and then perform appropriate actions upon the environment. The coexistence of sensors and actors introduces new challenges to realize WSAN. For ...

In multi-hop wireless sensor networks that are characterized by many-to-one (convergecast) traffic patterns, problems related to energy imbalance among sensors often appear. When the transmission range is fixed for nodes throughout the network, the amount of traffic that sensors are required to forward increases dramatically as the distance to the data sink becomes smaller. Thus, sensors closes...

in recent years many researches are carried out to develop robots for agricultural applications. one of the main steps in agricultural robot fabrication is the generation of guidance signals. the objective of this research was a feasibility study of ultrasonic sensors in generating guidance signals to determine the position and orientation of a mobile robot for greenhouse applications. a series...