The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Fuzzy Logic QoS Dynamic Source Routing for Mobile Ad Hoc Networks
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
An analytical model to estimate path duration in MANETs
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
The random trip model: stability, stationary regime, and perfect simulation
IEEE/ACM Transactions on Networking (TON)
Engineering Applications of Artificial Intelligence
Type-2 Fuzzy Logic: Theory and Applications
GRC '07 Proceedings of the 2007 IEEE International Conference on Granular Computing
An Expert Fuzzy Grid Scheduler for Virtual Organizations
CIMCA '08 Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control & Automation
Enhanced Karnik-Mendel algorithms
IEEE Transactions on Fuzzy Systems
An adaptive fuzzy logic based secure routing protocol in mobile ad hoc networks
Fuzzy Sets and Systems
Route duration modeling for mobile ad-hoc networks
Wireless Networks
Supporting QoS in Integrated Ad-Hoc Networks
Wireless Personal Communications: An International Journal
Knowledge acquisition in fuzzy-rule-based systems with particle-swarm optimization
IEEE Transactions on Fuzzy Systems
Connection admission control in ATM networks using survey-based type-2 fuzzy logic systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Hi-index | 12.05 |
Mobile ad hoc networks are able to extend the coverage area of Internet access points by establishing multihop communication paths. Due to diverse factors such as the mobility of the nodes, the propagation conditions or the traffic status, the communication paths present a lifetime. In fact, the quality of the Internet connection mainly depends on the durability of the employed communication routes. In order to improve the network performance, the nodes should select the best route in terms of its remaining lifetime. Since the factors impacting the route lifetime are unpredictable, the route remaining lifetime cannot be analytically derived. Under these circumstances, a fuzzy-logic system outstands as a potential solution to estimate the stability of the routes. This paper analyses the potentiality of this kind of solution. In particular, the paper presents a fuzzy logic system which should be installed in the mobile nodes to distributedly identify the stable routes. In particular, the system is supported by an interval-based type-2 fuzzy logic. Being a type-2 fuzzy logic system, it is able to cope with inexact estimations. This ability is necessary to avoid the use of additional messages which will occupy the scarce wireless medium. On the other hand, an interval-based fuzzy system provides the simplicity demanded by the energy-constrained mobile devices. As a novelty, the two outputs of the interval-based fuzzy system are employed. The use of each output depends on the traffic state of the mobile node. By means of extensive simulations, we demonstrate the goodness of the proposed system.