<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kamel Barka</style></author><author><style face="normal" font="default" size="100%">Lyamine Guezouli</style></author><author><style face="normal" font="default" size="100%">Asma Djehiche</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Swarm Intelligence-based data collection protocol for Mobile Heterogeneous Wireless Sensor Networks</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of King Saud University - Computer and Information Sciences</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">Submitted</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Our aim with this paper is to introduce a new protocol for self-organization and data-collection in heterogeneous wireless sensor networks (WSNs) called SDCP (Self-organization and Data-collection Protocol). This protocol is supported by two types of special mobile nodes (SƿN) that are rich in resources (those that can move by flying (such as Unmanned Aerial Vehicle - UAVs) and those that can move on the ground (Actors)). Through our SDCP protocol, we plan to ensure optimal performance measures, such as energy efficiency, low latency, high success rate, a moderate number of hops, and suitably interactions between static sensors and SpNs while benefiting from their mobility (in a hierarchical heterogeneous network with unstable architecture due to mobility). The SƿN moves conforming to a particular mobility model, namely random waypoint mobility model, which allows pause time. Each SƿN, while it is suspended, forms a transitory cluster that heads for collecting and processing sensed data (sensed by static sensor nodes in that cluster). During his trip, SƿN piggybacks the collected data and returns it to a base station (BS). Once the data transferred to the BS, SƿN continues its movement again for a new data collection. The simulations carried out, delighted us with valuable performance outcomes.</style></abstract></record></records></xml>