Randomness Generation Based Quantum Key Agreement for Secured Routing in Mobile Ad Hoc Network

2019 ◽  
pp. 43-56
Author(s):  
C. Daniel Nesakumar ◽  
V. Saravanan
Keyword(s):  
Ad Hoc Network ◽  
Key Agreement ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Quantum Key Agreement ◽  
Mobile Ad Hoc ◽  
Secured Routing

FractWhale-DSR: Fractional Whale Optimization Based Secure Dynamic Source Routing Algorithm for Mobile Ad-hoc Network

2020 ◽  
Vol 13 (5) ◽  
pp. 942-956
Author(s):  
Putra Suma ◽  
Mohammed Ali Hussain
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
High Energy ◽  
Separation Distance ◽  
Delivery Ratio ◽  
Dynamic Nature ◽  
Whale Optimization ◽  
Mobile Ad Hoc ◽  
Secured Routing

Background: Nodes in the mobile Ad-hoc network (MANET) have the dynamic nature due to their vast separation distance. The dynamic nature of the MANET nodes changes the routing path established for the communication. The dynamic secured routing (DSR) has gained popularity since they provide the routing path based on the demand provided by the source and destination nodes. Various literature works have discussed the DSR strategy for routing path establishment, but faces challenges since it consumes high energy during the route discovery phase. Objective: To overcome the challenges in the existing works, a DSR strategy based on the Fractional Whale optimization algorithm (FWOA) is introduced in this work. Methods: The proposed algorithm uses the C 2 TE based selection criteria which depend on the connectivity, congestion, trust, and energy for selecting the suitable nodes for the communication. The proposed FractWhale-DSR algorithm finds the secured routing path in three phases. Results: The parameters, such as throughput, delay, Packet Delivery Ratio (PDR), and the energy define the performance of the proposed model. From the simulation results, the proposed FractWhale- DSR algorithm has an overall better performance with the values of 0.57265, 0.005118, 0.786325, and 75.88636% for throughput, delay, PDR, and energy respectively at the round of 25 for the MANET with 100 nodes. Conclusion: The proposed DSR strategy has the advantage of adaptability and scalability. Also, the router selects the alternate paths, when there is a link failure in the current network.

A Survey Study on Attacks in MANET Ad-Hoc Network

2017 ◽  
Vol 7 (7) ◽  
pp. 387
Author(s):  
. Harpal ◽  
Gaurav Tejpal ◽  
Sonal Sharma
Keyword(s):  
Routing Protocol ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Survey Study ◽  
Short Article ◽  
The People ◽  
Distance Vector ◽  
Mobile Ad Hoc ◽  
Real World Problems

In this time of instant units, Mobile Ad-hoc Network(MANET) has become an indivisible part for transmission for mobile devices. Therefore, curiosity about study of Mobile Ad-hoc Network has been growing because last several years. In this report we have mentioned some simple routing protocols in MANET like Destination Sequenced Distance Vector, Active Source Redirecting, Temporally-Ordered Redirecting Algorithm and Ad-hoc On Need Distance Vector. Protection is just a serious problem in MANETs because they are infrastructure-less and autonomous. Principal target of writing this report is to handle some simple problems and security considerations in MANET, operation of wormhole strike and acquiring the well-known routing protocol Ad-hoc On Need Distance Vector. This short article will be a great help for the people performing study on real world problems in MANET security.

Performance Comparison of MANET, VANET and FANET

2018 ◽  
Vol 8 (5) ◽  
pp. 132
Author(s):  
Aarti Sahu ◽  
Laxmi Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Wireless Network ◽  
Packet Loss ◽  
Ad Hoc Network ◽  
Fuzzy Logic Controller ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Comparison ◽  
Fuzzy Rules ◽  
Mobile Ad Hoc

A wireless ad hoc network is a decentralized kind of wireless network. It is a kind of temporary Computer-to-Computer connection. It is a spontaneous network which includes mobile ad-hoc network (MANET), vehicular ad-hoc network (VANET) and Flying ad-hoc network (FANET). Mobile Ad Hoc Network (MANET) is a temporary network that can be dynamically formed to exchange information by wireless nodes or routers which may be mobile. A VANET is a sub form of MANET. It is an technology that uses vehicles as nodes in a network to make a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. In this research paper Fuzzy based control approaches in wireless network detects & avoids congestion by developing the ad-hoc fuzzy rules as well as membership functions.In this concept, two parameters have been used as: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to Fuzzy logic controller. The output of Fuzzy logic control (sending rate) derives from the conjunction with Fuzzy Rules Base. The parameter used input channel load, queue length which are produce the sending rate output in fuzzy logic. This fuzzy value has been used to compare the MANET, FANET and VANET in terms of the parameters Throughput, packet loss ratio, end to end delay. The simulation results reveal that usage of Qual Net 6.1 simulator has reduced packet-loss in MANET with comparing of VANET and FANET.

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