Survivable load sharing protocols: a simulation study
Wireless Networks - Special issue: Design and modeling in mobile and wireless systsems
Computer Networks
Algebra and algorithms for QoS path computation and hop-by-hop routing in the internet
IEEE/ACM Transactions on Networking (TON)
An Enhanced Hybrid Quadratic Particle Swarm Optimization
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
End-to-end vs. hop-by-hop transport under intermittent connectivity
Proceedings of the 1st international conference on Autonomic computing and communication systems
Particle filtering with particle swarm optimization in systems with multiplicative noise
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Retransmission-based partially reliable transport service: an analytic model
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Soft handoff and connection reliability in cellular CDMA downlinks
IEEE Transactions on Wireless Communications
Particle swarm optimization approaches to coevolve strategies for the iterated prisoner's dilemma
IEEE Transactions on Evolutionary Computation
Providing fault tolerance in wireless access networks
IEEE Communications Magazine
An adaptive bandwidth reservation scheme for high-speed multimedia wireless networks
IEEE Journal on Selected Areas in Communications
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A Cellular IP CIP network involves a bulk of data transmission. It is highly reliable and guarantees the safe delivery of the packets required in such systems. Reliable traffic performance leads to efficient and reliable connectivity in Cellular IP network. CIP network, which consists of mobile hosts, base stations, and links, are often vulnerable and prone to failure. During the routing operation in the network, the base station, which works as router for the transmitted packets, may fail to perform. Reliable transmission is desirable, in terms of services of the base stations in the network, reliable routing, and processing the data. In this paper, the authors design a reliability model to increase the reliability of a flow, consisting of packets, passing through routers in a Cellular IP network. Particle Swarm Optimization PSO is able to solve a class of complex optimization problems. PSO is used to improve the reliability of the flow in CIP network. The proposed model studies the effects of packet processing rate, packet arrival rate, and the number of packets per flow on the reliability of the system. A simulation experiment is conducted and results reveal the effectiveness of the model.