[PDF] Top 20 Bioinspired evolutionary algorithm based for improving network coverage in wireless sensor networks

... works based on the evolutionary algorithms (SPSO) for optimal coverage in the mobile sensor ...this algorithm is to find particle position which is based on evaluation fitness ... See full document

... Abstract: Sensor networks are a collection of sensor nodes spread in a geographical ...many-to-one sensor network where all traffic generated at sensors is destined for AP, thus a ... See full document

... include wireless and mobile communications and networks, wireless sensor networks, information security, digital signal processing, fuzzy neural networks and embedded ... See full document

... of network initiation and reformation in optimized ...the network nodes operating ...of wireless sensor networks by using the most optimized method ...PSO algorithm is the most ... See full document

... Genetic Algorithm (GA). The algorithm, as a methodology, is a multi objective methodology which can be used in different fields such as self-organizing wireless sensor ...clustering ... See full document

... Firefly Algorithm is estimated using ...unix based and uses tcl as scripting ...and wireless networks using ns2.The simulated network is for 100nodes in a 200m× 200m network ... See full document

... Abstract: Wireless sensor networks have been widely considered as one of the most important 21th century technologies and are used in so many applications such as environmental monitoring, security ... See full document

... in coverage optimization of wireless sensor ...of coverage range and detection quality with different costs. A sensor deployment problem for a planar grid region is formulated as a ... See full document

... When network size is large or the sensor field is re- mote and hostile, random sensor deployment might be the only choice ...that sensor nodes are deployed in random manner then there may be ... See full document

... fly algorithm was combined with wireless sensor ...of network coverage was implemented. Based on a new type of in- telligent algorithm, the change step of fruit fly ... See full document

... in wireless sensor networks (WSN) given a limited set of ...model based on a Rayleigh block fading channel, ii) the calculation of the signal-to-interference plus- noise ratio (SINR) ... See full document

... target coverage rate of the target coverage method based on the simulated annealing algorithm increases slowly with the increase of the number of the iteration algorithm, and tends to ... See full document

... in wireless sensor networks, a wireless sensor network (WSN) node optimal coverage method based on improved genetic algorithm and binary ant colony ... See full document

... a network, a wireless sensor network (WSN) is ...the network and communicate to other nodes of the network including both sensors and sink (data gathering) nodes using their ... See full document

... kind based on the ant colony algorithm routing algorithm in wireless sensor ...colony algorithm is simple and easy to implement, support for multiple path characteristics, ... See full document

... the network lifetime of sensor networks by reducing power ...the sensor nodes in the target network field or area randomly grouped into number of clusters, where the numbers of clusters ... See full document

... Wireless Sensor Networks consisting of nodes with limited power are deployed to gather useful information from the ...deployed sensor node; these sensor nodes are smart, effective ... See full document

... A wireless sensor network (WSN) can be employed in many application areas such as traffic control and industrial automation. In WSNs, clustering achieves energy efficiency and scalable performance. A ... See full document

... the wireless sensor network system consists of three ...a wireless transceiver chip, whose role is to convert the digital information to high frequency radio signals for transmission and ... See full document

... Neural Networks, Artificial Intelligence, Swarm Optimization, and Ant Colony Optimization have been implemented to tackle such ...Genetic Algorithm (GA) is one of the most powerful heuristics for solving ... See full document