Intelligent Discovery of Safe Paths in Wireless Sensor Network

In wireless sensor networks, sensor readings are gathered at a gateway for processing and forwarding to a remote commend center. The closeness of the gateway to potentially dangerous events, e.g. fires, exposes it to damage and thus risks making the network dysfunctional. Recently, we have introduced SAFER (safety-aware relocation); a novel approach for protecting the gateway. SAFER strives to relocate the gateway to a safer location while maintaining acceptable network performance. In this paper, we propose to extend SAFER by introducing a new scheme for guiding the gateway during relocation, i.e. finding a safety and operation aware path (SOAP). The SOAP employs evolutionary neural networks to estimate the risk that the gateway may be running at various candidate locations and identifies a safe spot for the gateway. SOAP helps the gateway in safely reaching its final destination and maintaining uninterruptible data delivery. Simulation results demonstrate the effectiveness of our proposed approach