International Journal of Information and Communication Technology Research
مجله بین المللی ارتباطات و فناوری اطلاعات
International Journal of Information and Communication Technology Research
Engineering & Technology
http://ijict.itrc.ac.ir
1
admin
2251-6107
2783-4425
doi
1652
25391
en
jalali
1398
6
1
gregorian
2019
9
1
11
3
online
1
fulltext
en
Multi-Objective P- Epidemic Forwarding Method in Heterogeneous DTNs Using NSGA-II
شبکه و امنیت
Network
پژوهشي
Research
Due to the increasing use of wireless communications, infrastructure-less networks should be highly considered. Delay Tolerant Network (DTN) as such networks does not have the end to end path between the source and destination nodes. Consequently, routing in DTN as an open issue needs to be studied. Many replication protocols such as epidemic routing are proposed in these challenging wireless environments. The main idea of epidemic routing is to send a copied message to each node without that message. The replication process consumes a high amount of network resources such as energy.<br>
In this work, a probabilistic epidemic (p-epidemic) forwarding scheme is suggested that minimizes the energy consumption and maximizes the message delivery probability within the heterogeneous sets of nodes using Non-dominated Sorting Genetic Algorithm II (NSGA-II). Current research considers all the nodes of the network with the equal transmission radii and the network is assumed homogeneous. In our work, the nodes have two different amounts of available energies and two different transmission radii. The radius of each node is chosen according to the current energy of that node. The node energy has a significant role in successfully delivering the messages. Regarding the node energy, the lower transmission radius the node has, the lower its chance to send the message with the lower probability. The node with the higher transmission radius sends the message with a higher probability. The optimal transmission probabilities are obtained by NSGA-II. The front of optimal solutions according to these probabilities for delivery probability and energy consumption are observed.
Delay Tolerant Networks, Node Current Energy, NSGA-II, Probabilistic Epidemic Forwarding, Transmission Probability
9
16
http://ijict.itrc.ac.ir/browse.php?a_code=A-10-4281-1&slc_lang=en&sid=1
Shiva
Karimi
shkarimi@email.kntu.ac.ir
10031947532846001462
10031947532846001462
No
K.Faculty of Electrical Engineering, K. N. Toosi University of Technology
Yousef
Darmani
darmani@kntu.ac.ir
10031947532846001463
10031947532846001463
Yes
Faculty of Electrical Engineering, K. N. Toosi University of Technology