A Hybrid Location-Semantic Approach to Routing Assisted by Agents in a Virtual Network

Routing in Ad-hoc Wireless Sensor Network (AWSN) has been addressed by several research works which can basically be divided into flat-based, hierarchical-based, and location-based routing depending on the network structure. Despite advances in these interesting works, straightforward messages routing is still extremely difficult. We still seek a flexible approach that provides sensors with enough autonomy and processing capabilities to determine secure, lower-cost, and reliable routes while preventing the routing of unused data that burdens sensors. To meet this goal, we propose a requirement-driven approach that uses geographic-based routing to focus sensing efforts in areas of interest, plus semantic-based routing to determine and use relevant sensors semantically connected with respect to current monitoring requirements. By moving most intensive processing into a virtual network running in parallel to the physical AWSN, our approach uses software agents to reduce network resource consumption and find enhanced routing pathways.