wireless sensor networks(wsn) have unique properties that distinguished them from other wireless networks and have special challenges. not-chargeable, not-changeable and limited power supplies of sensor nodes is the most important challenge of this networks, and if the power supply of node expired, a part of data maybe lost. because of the importance of covers in wireless sensors, in this work ...

sink location is considered as a basic service in geographic routing in wireless sensor networks. obtaining the location of sink node by source node using an efficient method with low complexity has always been a challenging issue in research. in this paper, a sink location algorithm based on fano plane is proposed. the research challenge is how to ensure the intersection of two slq and sla rou...

one of the main challenges in wireless sensor network is energy problem and life cycle of nodes in networks. several methods can be used for increasing life cycle of nodes. one of these methods is load balancing in nodes while transmitting data from source to destination. directed diffusion algorithm is one of declared methods in wireless sensor networks which is data-oriented algorithm. direct...

Body area networks is one of the types of wireless area networks which has been created to optimize utilizing hospital resources and for earlier diagnosis of medical symptoms, and ultimately to reduce the cost of medical care. This network like most of the wireless networks is without infrastructure and the embedded sensor nodes in the body have limited energy. Hence, the early power completion...

 Mobile sensor networks rely heavily on inter-sensor connectivity for collection of data. Nodes in these networks monitor different regions of an area of interest and collectively present a global overview of some monitored activities or phenomena. A failure of a sensor leads to loss of connectivity and may cause partitioning of the network into disjoint segments. A number of approaches have be...

in this paper, we study wsn design, as a multi-objective optimization problem using ga technique. we study the effects of ga parameters including population size, selection and crossover method and mutation probability on the design. choosing suitable parameters is a trade-off between different network criteria and characteristics. type of deployment, effect of network size, radio communication...

In wireless sensor networks (WSNs)‎, ‎sensor nodes have limited resources with regard to computation‎, ‎storage‎, ‎communication bandwidth‎, ‎and the most important of all‎, ‎energy supply‎. ‎In addition‎, ‎in many applications of sensor networks‎, ‎we need to send images to a sink node‎. ‎Therefore‎, ‎we have to use methods for sending images in which the number and volume of packets are optim...

Recently different approaches have been developed in the field of sensor fault diagnostics based on Auto-Associative Neural Network (AANN). In this paper we present a novel algorithm called Self reconstructing Auto-Associative Neural Network (S-AANN) which is able to detect and isolate single faulty sensor via reconstruction. We have also extended the algorithm to be applicable in multiple faul...

a sensor network is made up of a large number of sensors with limited energy. sensors collect environmental data then send them to the sink. energy efficiency and thereby increasing the lifetime of sensor networks is important. direct transfer of the data from each node to the central station will increase energy consumption. previous research has shown that the organization of nodes in cluster...

target coverage is one of the important problems in visual sensor networks. the coverage should be accompanied with an efficient use of energy in order to increase the network lifetime. in this paper, we address the maximum lifetime for visual sensor networks (mlv) problem by maximizing the network lifetime while covering all the targets. for this purpose, we develop a simulated annealing (sa) ...