Cross-layer optimization with MIPv6-based multiple mobile routers for cognitive networks.

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Bibliographic Details
Title: Cross-layer optimization with MIPv6-based multiple mobile routers for cognitive networks.
Authors: Ye, Dan1 d03922001@csie.ntu.edu.tw
Source: Wireless Networks (10220038). Jan2016, Vol. 22 Issue 1, p193-209. 17p.
Subjects: Network routers, Internetworking devices, Computer routing equipment, Stochastic analysis, Stochastic approximation
Abstract: To allow secondary and primary concurrent transmissions achieving the increment of optimal mobile network performance in heterogeneous cognitive networks, this paper proposes a cross-layer optimization framework with a distributed cooperative MIPv6-based multiple mobile routers using adaptive opportunistic route optimization entitled Mobile IPv6 Route Optimization for Cognitive radio networks (MIROC) protocol. A gripping slant of MIROC protocol is the benefit to develop mobile cognitive routers based on MIPv6. The proposed protocol is elaborated in details from angular RO and multiangular routing which can be utilized in practical network deployment. The performance in M/M/n and M/M/∞ Queue and evaluation of cognitive mobile Network with multiple mobile routers using stochastic process in Markov chain model are analyzed. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:To allow secondary and primary concurrent transmissions achieving the increment of optimal mobile network performance in heterogeneous cognitive networks, this paper proposes a cross-layer optimization framework with a distributed cooperative MIPv6-based multiple mobile routers using adaptive opportunistic route optimization entitled Mobile IPv6 Route Optimization for Cognitive radio networks (MIROC) protocol. A gripping slant of MIROC protocol is the benefit to develop mobile cognitive routers based on MIPv6. The proposed protocol is elaborated in details from angular RO and multiangular routing which can be utilized in practical network deployment. The performance in M/M/n and M/M/∞ Queue and evaluation of cognitive mobile Network with multiple mobile routers using stochastic process in Markov chain model are analyzed. [ABSTRACT FROM AUTHOR]
ISSN:10220038
DOI:10.1007/s11276-015-0967-3