Current Issue : April - June Volume : 2016 Issue Number : 2 Articles : 5 Articles
Covering the surveillance region is a key task for wireless sensor networks. For mobile sensors, the deployment of sensors at\nappropriate locations is the key issue for sufficient coverage of surveillance area, and efficient resource management of sensor\nnetwork. Previous studies most utilize physical coverage model for developing deployment schemes, in that the sensor resources\nmay be wasted during the deployment for coverage. In this paper, a novel movement-efficient deployment scheme for mobile sensor\nnetworks is proposed, which adapts the information coverage model and the classical potential field method. The performances of\nthe proposed scheme are evaluated comparing to two other schemes in aspects of coverage rate, coverage hole rate, ideal moving\ndistance, and actual moving distance through extensive simulations. Simulation results show that the proposed scheme performs\nbetter than these related schemes in both coverage and movement efficiency....
The existing IEEE and 3GPP standards have laid the foundation for integrating cellular and WiFi network to deliver a seamless\nexperience for the end-users when roaming across multiple access networks. However, in recent studies, the issue of making\nroaming decision and intelligently selecting the most preferable Point of Service to optimize network resource and improve end\nuser�s experience has not been considered properly. In this paper, we propose a novel cellular and WiFi roaming decision and\nAP selection scheme based on state of the art, 3GPP TS24.312 and IEEE 802.11u, k standards. Our proposed scheme assists the\nmobile nodes to decide the right timing to make roaming decision and select preferable point of service based on the operator�s\npolicies and real-time network condition. We also introduce our simulation model of a heterogeneous network with cellular and\nWiFi interworking as well as 3GPP ANDSF, TS24.312. It is a complete end-to-end system model from application to physical layer\nwith considering user�s mobility and realistic traffic model. The proposed scheme outperformed the conventional WiFi selection\nscheme in terms of dynamically steering mobile node�s data traffic frommacrocell to available Access Points. The proposed scheme\nincreased the utilization and balanced the traffic load of access points and improved user�s experienced throughput....
With the widespread use of Internet, the scale of mobile data traffic grows explosively, which makes 5G networks in cellular\nnetworks become a growing concern. Recently, the ideas related to future network, for example, Software Defined Networking\n(SDN), Content-Centric Networking (CCN), and Big Data, have drawn more and more attention. In this paper, we propose a\nservice-customized 5G network architecture by introducing the ideas of separation between control plane and data plane, in network\ncaching, and Big Data processing and analysis to resolve the problems traditional cellular radio networks face. Moreover,\nwe design an optimal routing algorithm for this architecture, which can minimize average response hops in the network. Simulation\nresults reveal that, by introducing the cache, the network performance can be obviously improved in different network conditions\ncompared to the scenario without a cache. In addition, we explore the change of cache hit rate and average response hops under\ndifferent cache replacement policies, cache sizes, content popularity, and network topologies, respectively....
In order to improve the Internet coverage ratio and provide connectivity guarantee, based on sensor opportunistic coverage\nmechanism and cooperative cloud service, we proposed the coverage connectivity guarantee protocol for mobile Internet. In\nthis scheme, based on the opportunistic covering rules, the network coverage algorithm of high reliability and real-time security\nwas achieved by using the opportunity of sensor nodes and the Internet mobile node. Then, the cloud service business support\nplatformis created based on the Internet application service management capabilities and wireless sensor network communication\nservice capabilities, which is the architecture of the cloud support layer.The cooperative cloud service aware model was proposed.\nFinally, we proposed the mobile Internet coverage connectivity guarantee protocol. The results of experiments demonstrate that\nthe proposed algorithm has excellent performance, in terms of the security of the Internet and the stability, as well as coverage\nconnectivity ability....
As the number of mobile devices and IoT (internet of things) devices has explosively increased, various contents are created anytime\nand anywhere. To meet such trend, current internet architecture has exposed many limitations such as high control overhead due\nto multistaged address resolution, frequent location updates, and network congestion. Recently, information centric networking\n(ICN) is considered as new networking architecture to redesign current internet�s content exchange paradigm. In current ICN\narchitecture, whenever a mobile node moves to a new domain, it needs long latency to configure and confirm the temporary name\nprefix. So, this paper presents an efficient name prefix configuration mechanism in mobile CCNto reduce the latency needed for the\nname prefix configuration during MCS�s handover. From the performance analysis, the proposed mechanism is shown to provide\nlower control overhead and lower resource consumption....
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