Authors: Sourav Hati; Debashis De; Anwesha Mukherjee
Addresses: Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, BF-142, Sector-I, Salt Lake City, Kolkata 700064, West Bengal (WB), India ' Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, BF-142, Sector-I, Salt Lake City, Kolkata 700064, West Bengal (WB), India; School of Physics, University of Western Australia, M013, 35 Stirling Highway, Crawley, Perth, WA 6009, Australia ' Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, West Bengal (WB), 721302, India
Abstract: In an overlay macro-femtocell mobile network, the femtocells are allocated within the macrocell coverage in order to provide good quality of service at indoor environment. Within this network, when a femtocell gets damaged, the adjacent lightly loaded femtocells are searched and the users of the damaged cell are handed over to those lightly loaded adjacent femtocells. However, this increases latency, power consumption and the probability of call dropping. To overcome these difficulties, we propose a red blood cell life cycle-based fault recovery management method which utilises femtocell-to-macrocell and then macrocell-to-femtocell handover to reduce the probability of call dropping, power consumption and latency. We introduce a new database, femtoDB which is stored inside the cloud to be used as a potential repertoire capable to store the femtocell IDs with their users' information in an overlay macro-femtocell network. Based on the information maintained in femtoDB, the macrocell decides to which femtocell the users of the damaged femtocell to be handed over. Simulation results illustrate that the proposed recovery management method reduces the probability of call dropping, power consumption and latency by approximately ~3%, ~75% and ~60% respectively.
Keywords: red blood cell; RBC; femtocell; macrocell; call dropping; power consumption; latency.
International Journal of Bio-Inspired Computation, 2019 Vol.14 No.3, pp.181 - 189
Accepted: 08 Dec 2018
Published online: 13 Nov 2019 *