Gohar Ali

TL;DR: A model for CCCP using data transformation methods (i.e., log, z-score, rank and box-cox) was devised and an extensive comparison was presented to validate the impact of these transformation methods in CCCC, but also evaluated the performance of underlying baseline classifiers.

TL;DR: This work proposes a new centralized approach that analyzes a network’s energy consumption to optimize node duty cycles and shows that the proposed guaranteed lifetime protocol achieves less average end-to-end delay and better packet delivery ratio when compared to its best rival protocols formulated in past research.

TL;DR: In this paper, the authors proposed WSN clustering based on the memetic algorithm (MemA) to decrease the probability of early convergence by utilizing local exploration techniques, which can not only reduce the message overhead in WSN-IoT but also control the congestion and easy topology repairs.

TL;DR: This paper provides a cluster-based real-time flow scheduling scheme for the purpose of interference-aware real- time flow scheduling in wireless sensor networks and shows the effectiveness of the proposed scheme in many aspects.

TL;DR: An extension of Partner Based Dynamic Critical Path for Grids algorithm named Balanced Partner Based dynamic critical path for grids (B-PDCPG) that incorporates a hybrid and threshold based mechanism to achieve load balancing to an allowed value of variation in workload among the resources in partner Based Dynamic critical Path forgrids algorithm is proposed.