Thk paper pmrrsents mdyticd models for voice over IP with applications on multi-protocol label switching (MPLS) networks. Models are developed to meamre the efficiency of the voice packets transmission over IP. For handling delay-sensitive packeb such as voice packets, the voice back-bone of the systems to be analyzed eliminates the use of bufirs on voice traEc. Tbe network node mod& pmented in this paper support the Quality of Service (QoS) requirements and tra5c engineering standards supported by MPLS. The perfomance results in term of voice delay and blocking probabdity are p r e sented. '
Management of mobility especially balancing the load of handoff for wireless networks is an essential parameter for wireless network design and traffic study. In this paper, we present analytical mobility management in high speed wireless mobile networks focusing on factors such as the number of channel slots and offered load. We demonstrate the performance of handoffs with mobility consideration using several metrics including the alteration of states prior to reaching a cell boundary, the speed of mobile terminal, and the distance between a mobile terminal and a cell boundary. We mainly focus on the performance evaluation for the factor of mobility with taking into account the high speed status of a user.
This paper develops and analyzes a novel clustering protocol, the Decentralized Energy Efficient cluster Propagation (DEEP) protocol that manages the communication of data while minimizing energy consumption across sensor networks. The paper also presents an Inter-Cluster Routing protocol (ICR) that is compatible with the proposed clustering technique. The DEEP protocol takes advantage of the multi-rate capabilities of 802.11a, 802.11b, and 802.11g technologies by elevating the data rate to higher levels for shorter transmission ranges. This approach reduces the energy consumption by lowering the transmission time. In order to conserve energy and prolong network lifetime, the DEEP protocol starts with an initial cluster head and gradually forms clusters throughout the network by controlling the dimension of clusters and the geographical distribution of cluster heads. Because this model results in a balanced load among cluster heads, protocol overhead due to frequent re-clustering is eliminated. Simulation results demonstrate that the DEEP protocol distributes energy consumption approximately eight times better than the LEACH protocol-clustering scheme. In addition, the DEEP protocol substantially reduces total data communication and route setup energy consumption in the network compared to the LEACH protocol.
A thorough routing analysis of a switching network called the spherical switching network for high-speed applications is presented in this paper. The spherical switching network has a cyclic, regular, and highly expandable structure with a simple self-routing scheme. The network is constructed with fixed-size switch elements regardless of the size of the network. Each switch element consists of a carefully-selected sized 9 input/output crossbar and a local controller. One of the nine pairs of links is external and carries the external traffic, and the other eight pairs are internal. The contention resolution in each switch element is based on deflection of losing packets and incremental priority of packets. The switch elements do not utilize any buffering within the network. The analysis shows that this network clearly outperforms typical interconnection networks currently being deployed in practical switches and routers such as Banyan network. In order to keep the number of deflections low, each incoming external link is connected to a buffer with flow control capabilities. Due to the special arrangement of interconnections in the network, a much larger number of shortest paths between each pair of source/destination exists. The related analysis for finding the number of hops and shortest paths appear in this paper.
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