[2020-2021] Context Dependant Approaches for Wireless Sensor Networks Enhancement [Ines El Korbi]
Since late years 2000, wireless sensor networks (WSNs) have gained much interest given their deployment ease, their facility of configuration and their autonomy. But, despite all these advantages they have several drawbacks due to the inner characteristics of the sensor nodes (low memory, finite energy resource, etc.). For all these reasons, several research works tackled different issues in WSNs like coverage/connectivity, fault tolerance, medium access schemes, energy conservation, etc. But if we adapt these ap- proaches to a special context of WSN deployment, these existing techniques become completely inadequate. Therefore, we propose in this document new approaches to ac- count for particular sensor nodes deployment contexts. We first consider the case of multi-channel deployment in WSNs and propose new fault tolerance approaches to ac- count for this multi-channel access. Then, we focus on smart (SG) grid applications and propose to use the cognitive radio sensor network (CRSN) as the SG communication network. We proposed different CSRN based medium access techniques that account for the SG traffic requirements. We finally focused on the routing problem in WSNs using the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) and we adjusted the RPL metrics to account for nodes mobility. We also added new approaches to allow sensor nodes to locally detect their speed values based on the occurrence of particular events in their vicinity.
Keywords :
Wireless sensor networks, context dependant approaches, fault tolerance, multi-channel access, smart grids, cognitive radio, RPL, mobility, speed derivation, performance evaluation.


