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Routing Schemes in Wireless Multimedia Sensor Networks
Published in Ankur Dumka, Sandip K. Chaurasiya, Arindam Biswas, Hardwari Lal Mandoria, A Complete Guide to Wireless Sensor Networks, 2019
Ankur Dumka, Sandip K. Chaurasiya, Arindam Biswas, Hardwari Lal Mandoria
Latency constraint-based routing: This protocol is further subdivided into HRT, SRT, and FRT based on latency constraint and deadline delay. Where HRT is a hard real-time constraint that considers a system failure if packets arrive after a predefined delay deadline. In a real-time system, maintaining such a hard constraint with factors like error prone medium and loss of links is very difficult. SRT systems are soft, real-time-based systems which allow some packets to be lost from the deadline but guaranteed for a probabilistic delay in order to a avoid system crash. A FRT system uses the concept of (m, k) that says that at least m out of k consecutive messages must be delivered prior to their delay deadline.
Networking and the Interwebs
Published in Tim Kuschel, The Live Event Video Technician, 2023
In data transfer, there are two protocols: UDP (user datagram protocol) and TCP (transmission control protocol). UDP is faster but is primarily for pushing data without acknowledgments or error checking of the data. TCP is slower, but makes sure connections are established and checks the data for missing information. SRT uses the faster UDP protocol, but puts a layer of packet loss recovery and encryption on top of it. Thus, more reliable transport.
Resilience-based mathematical model to restore disrupted road-bridge transportation networks
Published in Structure and Infrastructure Engineering, 2022
Samin Somy, Rasoul Shafaei, Reza Ramezanian
The proposed model was implemented on hypothetical road-bridge networks and also a highway network in Shelby County. In order to demonstrate the impact of the second objective function on achieving the best recovery activity scheduling, the optimal and suboptimal recovery trajectories were compared. Results show that SRT leads to a significant increase in network performance level in the early stages. A sensitivity analysis was also performed to investigate the impacts of communities' investment patterns on the recovery plan. The outcomes confirmed that providing more available resources immediately after the disaster allows more recovery activities simultaneously. The optimal solution was compared with the recovery based on simple criteria to demonstrate the proposed model's applicability. The results revealed that using the and metrics simultaneously leads to better network performance in the early stages and less total recovery time.