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Kousik, N. V.
- Autonomous Greedy Routing in Wireless Sensor Networks
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Authors
Affiliations
1 Department of Computing Science and Engineering, Galgotias University, IN
2 Department of Information Technology, Lebanese French University, IQ
1 Department of Computing Science and Engineering, Galgotias University, IN
2 Department of Information Technology, Lebanese French University, IQ
Source
ICTACT Journal on Communication Technology, Vol 10, No 1 (2019), Pagination: 1947-1952Abstract
Routing is challenging issue in WSN: Cryptography and key management schemes seem good, but they are too expensive in WSN. Prevention-based and detection based are the two approaches that are used in MANET. In prevention-based approaches a centralized key management is required, These applications require a good Quality of Service (QoS) from sensor networks, such as, minimum percentage of sensor coverage in the required area, continuous service during required time slot with minimum (or limited) resources (like sensor energy and channel bandwidth) and minimum outside intervention. The whole network may be affected if the infrastructure is destroyed. So this approach is used to prevent misbehavior, but not detect malicious based routes Detection based approaches are used to detect selfish node along with route that helps to identify malicious misbehavior route. Detection based approaches are based on trust in MANETs. Hence this approach is used to calculate the trust value in trust management schemes. The proposed scheme differentiates, routes, data packets and control packets, and also excludes the other causes that results in dropping packets, such as unreliable wireless connections and buffer overflows. The proposed scheme in a MANET routing protocol, evaluation of the AODV (Adhoc on demand on distance vector) and Low Energy Adaptive Clustering Hierarchy (LEACH) protocol with the NS2 simulator.Keywords
MANET, WSN, Routing, Quality of Service, AODV.
References
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Abstract Views :206 |
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Authors
Affiliations
1 School of Computing Science and Engineering, Galgotias University, IN
1 School of Computing Science and Engineering, Galgotias University, IN
Source
ICTACT Journal on Communication Technology, Vol 10, No 3 (2019), Pagination: 2019-2023Abstract
Airline industry is a booming industry where decisions have to be taken in the dynamic environment. There are many factors which govern the decision-making namely the airline route as considerate amount of profit can be generated by selecting the optimized airline route. The paper proposes a hybrid BCF algorithm which optimizes the flight trajectory and seat allotments. The algorithm specifically optimizes the airline route, seat allotment on a large scale of data set to give the best option to choose in and implement it. The result shows the tremendous variation regarding the net amount there by increasing the profit.Keywords
Hybrid BCF Algorithm, Decision-Making, Optimized, Airline Route, Profit.References
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Abstract Views :152 |
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Authors
Affiliations
1 Department of Information Technology, Mookambigai College of Engineering, IN
2 School of Computing Science and Engineering, Galgotias University, Greater Noida, IN
3 Department of Computer Science, Ministry of Education, AE
1 Department of Information Technology, Mookambigai College of Engineering, IN
2 School of Computing Science and Engineering, Galgotias University, Greater Noida, IN
3 Department of Computer Science, Ministry of Education, AE