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Singh, Paramjit
- Comparison of Performance Metrics of Reactive Routing Protocol Using FTP
Authors
1 Global Institute of Management and Emerging Technologies, Punjab, IN
Source
Networking and Communication Engineering, Vol 7, No 3 (2015), Pagination: 103-108Abstract
Now-a-days wireless ad-hoc networks are growing tremendously as its self configuring and self maintaining characteristics and it does not require any well built infra-structure. Since topology of this network is unpredictable as nodes are free to join or leave the any network within its vicinity and there is no clear line of defense. The most challenging task in mobile ad-hoc networks is to provide energy efficient routing protocols as the mobile nodes have limited power and limited bandwidth. In this paper, we evaluated and compared the QoS parameters in terms of route discovery time hopes per route, throughput, network load and delay of different routing protocols using file transfer protocol (FTP) application in order to choose the best routing protocol. FTP application is used to transfer files from source to destination. AODV routing protocol performs slightly better than the DSR routing protocol in terms of throughput and delay.
Keywords
MANET, AODV, DSR, FTP, QoS Parameters.
- Role of Fuzzy Logic in Information Routing-A Review
Authors
1 Punjab Technical University, Jalandhar, Punjab, IN
2 Department of CSE, National Institute of Technology, Jalandhar, Punjab, IN
3 Dept of Electronics and Communication Engineering, Doaba College of Engineering and Technology, Kharar, Punjab, IN
Source
Networking and Communication Engineering, Vol 4, No 3 (2012), Pagination: 131-134Abstract
The routing is restricted by a multiple constraints such as node buffer capacities, residual link capacities, and the number ofhops on the path that often makes the routing problem intractable. These multiple constraints have very diverse effects on delay, delay jitter, loss ratio, bandwidth, and so on especially in distributed applications such as Internet phone and distributed games. Secondly, any future integrated services network is likely to carry both QoS and best effort traffic, which makes the issue of performance optimization complicated. Thirdly, the network state changes dynamically due to transient load fluctuation, connections in and out, link up and down and thus, the growing network size makes it increasingly difficult to gather up-to-date state information in such dynamic environments. The mathematical forms including these factors together becom extremely complex to derive and difficult to work with. This is one area where Adaptive fuzzy mechanism is beneficial.