@article{uninipr17897,
          number = {1},
            year = {2024},
           pages = {3820--3826},
         journal = {IEEE Transactions on Consumer Electronics},
          volume = {70},
          author = {Premkumar Chithaluru and Ravi Uyyala and Aman Singh and Osama Alfarraj and Luis Alonso Dzul L{\'o}pez and Satish Khatak and Ahmed Hussein Alkhayyat},
           title = {A Lightweight Energy-Efficient Routing Scheme for Real-Time WSN-VANET-Based Applications},
           month = {Marzo},
             url = {http://repositorio.unib.org/id/eprint/17897/},
        abstract = {An extensive examination reveals that Wireless Sensor Networks (WSNs) offer a promising solution for essential sensing and event-driven data communication needs. WSNs hold significant potential for event-driven communication, primarily owing to their decentralized and infrastructure-free operational characteristics. However, the traditional WSN?s inherent static nature imposes limitations on its applicability, particularly in scenarios requiring generic operating characteristics or routing protocols for Vehicle-to-Vehicle (V2V) communication. This constraint arises from the immobility of sensor nodes within the network. Nonetheless, adopting a forward-looking perspective that incorporates mobility into WSNs opens up opportunities to create a mobile-WSN solution tailored for V2V communication. In response to the challenges posed by mobile-WSNs and the pursuit of a cost-effective V2V communication solution, a Lightweight Energy-Efficient Cross-layer Routing (LRECR) scheme has been proposed for WSN-VANET-based networks. The proposed routing model aims to enhance the timely delivery of Real-Time Data (RTD) with low latency, provide optimal resources for Non-Real Time (NRT) data delivery, optimize resource allocation, minimize delay, reduce energy consumption, and lower buffer and holding costs. These comprehensive parameters empower mobile-WSNs to fulfill the requirements of a Quality of Service (QoS)-oriented and energy-efficient V2V communication system.},
        keywords = {Wireless sensor networks
            ,
            Peer-to-peer computing
            ,
            Routing
            ,
            Quality of service
            ,
            Energy efficiency
            ,
            Cross layer design
            ,
            Routing protocols}
}