Wireless Local Area Networks Exponential Backoff Algorithm Backoff is a scheme commonly used to resolve contention problems among different stations wishing to transmit data at the same time. When a station goes
Computer science A new backoff strategy using topological persistence in wireless networks ARIZONA STATE UNIVERSITY Violet R. Syrotiuk BhyravajosyulaSai Vishnu KiranContention based IEEE 802.11MAC uses the binary exponential backoff algorithm (BEB) for the contention resolution. The protocol suffers ...
To our knowledge, this is the first work to show a Spiking Neural Network implementation of the exact backpropagation algorithm that is fully on-chip without a computer in the loop. It is competitive in accuracy with off-chip trained SNNs and achieves an energy-delay product suitable for edge...
Mobile Ad-hoc and Sensor Networks . 2006Ki, H., Choi, S., Chung, M., and Lee, T.," Performance Evaluation of Binary Negative-Exponential Backoff Algorithm in IEEE 802.11 WLAN", Sungkyunkwan University, Springer-Verlag Berlin Heidelberg, pp 294-303, 2006....
In IEEE 802.11 Wireless Local Area Networks (WLANs), network nodes experiencing collisions on the shared channel need to backoff for a random period of time and the Contention Window (CW) is dynamically controlled by the Back off algorithm. The initial step is to design an efficient back off...
Three-dimensional Markov chain for backoff algorithm (case MIMO). When a link is active, it can allocate all its DoFs for spatial multiplexing. Therefore, M data streams can be simultaneously transmitted on that link. Consequently, the normalized per-node throughput for MIMO networks SMIMO can ...
First step to design a an efficient backoff algorithm for multi-hop ad hoc network is to analysis of the existing backoff algorithms in multi-hop ad hoc networks. Thus, in this paper, we considered two important multi-hop adhoc network scenarios: (a) Node Mobility Scenario and (b) ...
This paper proposes a new backoff algorithm for a CSMA/CA protocol and an analytical model computing the saturation throughput and delay of the scheme. The scheme differs from the standard backoff schemes in that the backoff time is not uniformly chosen in the contention window interval which ...
A second BPNN algorithm is proposed to forecast the transformer LOL using the 2FAL and DP data obtained from the first BPNN algorithm. Lastly, the results are used for hazard analysis and lifespan prediction based on the health index (HI) for each transformer to forecast the expected years of...
networks also for large architectures and datasets30,31. However, off-chip, offline training does not make use of neuromorphic hardware’s full potential and therefore consumes excessive power. Moreover, to function in most field applications, an inference algorithm should be able to learn ...