TY - JOUR
T1 - History and buffer rule based (forward chaining/data driven) intelligent system for storage level big data congestion handling in smart opportunistic network
AU - Sajid, Ahthasham
AU - Hussain, Khalid
AU - Shah, Syed Bilal Hussain
AU - Iqbal, Tahir
AU - Baig, Imran
N1 - Publisher Copyright:
© 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2018/9/8
Y1 - 2018/9/8
N2 - Delay tolerant networks (DTN’s) is the most growing application of wireless multi-hop networking under the umbrella of research done so far in sensor networks. Numerous challenges have to be faced by such networks; because of disconnection in terms of intermittent community, long delays etc in network due to drastic mobility. An intermediate node therefore interested to take custody of the transmission till subsequent notable appropriate is located toward destination. This study specializes on this key issue how selection as best custodian node in terms of storage capacity as mobile devices have limited storage capacity for the transmission to raise delivery of the packets with less drop rate. In this research a history and buffer based totally intelligent approach based expert gadgets has been added and validated and compared with existing MAXPROP protocol. Simulation outcomes shows proposed technique outperforms MAXPROP in overall over node, network and buffer level.
AB - Delay tolerant networks (DTN’s) is the most growing application of wireless multi-hop networking under the umbrella of research done so far in sensor networks. Numerous challenges have to be faced by such networks; because of disconnection in terms of intermittent community, long delays etc in network due to drastic mobility. An intermediate node therefore interested to take custody of the transmission till subsequent notable appropriate is located toward destination. This study specializes on this key issue how selection as best custodian node in terms of storage capacity as mobile devices have limited storage capacity for the transmission to raise delivery of the packets with less drop rate. In this research a history and buffer based totally intelligent approach based expert gadgets has been added and validated and compared with existing MAXPROP protocol. Simulation outcomes shows proposed technique outperforms MAXPROP in overall over node, network and buffer level.
KW - Big data
KW - DTN (delay tolerant network)
KW - ICN (intermittent connected networks)
KW - MANETs (mobile adhoc networks)
UR - http://www.scopus.com/inward/record.url?scp=85053454811&partnerID=8YFLogxK
U2 - 10.1007/s12652-018-1030-x
DO - 10.1007/s12652-018-1030-x
M3 - Article
AN - SCOPUS:85053454811
SN - 1868-5137
VL - 10
SP - 2895
EP - 2905
JO - Journal of Ambient Intelligence and Humanized Computing
JF - Journal of Ambient Intelligence and Humanized Computing
IS - 7
ER -