Abstract
In this paper, we have presented a comprehensive study on designing an aware energy architecture of clustered wireless sensor networks. In continuation to it, we have also analysed our proposed scheme, extended-multilayer cluster designing algorithm (E-MCDA), in a large network. Our novel layer-based hybrid algorithms for cluster head and cluster member selection come up to novel communication architecture. Among its components, algorithms for time slot allocation, minimization of CH competition candidates and cluster member selection to CH play underpinning roles to achieve the target. These incorporations in MCDA result in minimizing transmissions, suppressing the unneeded response of transmissions and near-equal size and equal load clusters. We have done extensive simulations in NS2 and evaluated the performance of E-MCDA. It is found that the proposed mechanism optimistically outperforms the competition with MCDA and EADUC.
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Jabbar, S., Ahmad, M., Minhas, A.A., Ahmad, S.H. (2019). A Novel Energy-Aware Design for Clustered Wireless Sensor Networks. In: Jan, M., Khan, F., Alam, M. (eds) Recent Trends and Advances in Wireless and IoT-enabled Networks. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-99966-1_11
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