Name
Abstract | ||
|---|---|---|
Epidemic simulations have recently been used to model the dynamics of malicious codes in the network of wireless sensors. This is because of its open existence, which offers a simple target for malware attacks aimed at disrupting network operations or, worse, causing complete network failure. The Susceptible-Exposed-Infectious-Quarantined-Recovered-Susceptible with Vaccination compartments models like SIR-M, SEIRV, SEIQRV, SEIRS, SITR, SIR with delay are studied by various authors and some of such models that characterize worm dynamics in WSN. After a concise presentation of the wireless sensor network, some primary research consequences of e-pandemic models (of various researchers) are given and assessed. At that point the uses of wireless sensor network in the clinical wellbeing, agribusiness, and military, space and marine investigation are laid out. What's more, we break down the upside of wireless sensor network in these sectors. In this review article, we sum up the fundamental factors that influence the uses of wireless sensor networks in view of e-epidemic models and revived some epidemic models and also discussed some conceivable future works of different epidemic wireless sensor models. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/s11277-021-08436-w | WIRELESS PERSONAL COMMUNICATIONS |
Keywords | DocType | Volume |
Wireless sensor networks, Nodes, Susceptible, Infected, Recovered epidemic | Journal | 120 |
Issue | ISSN | Citations |
1 | 0929-6212 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. N. Srinivas | 1 | 1 | 0.68 |
| V. Madhusudanan | 2 | 2 | 1.05 |
| A. V. S. N. Murty | 3 | 1 | 0.35 |
| B. R. Tapas Bapu | 4 | 15 | 1.98 |