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Last Mile Technologies based in Mount Pleasant, Michigan teamed up with Proxim Corporation to deploy the rst citywide Wi-Fi network for residential users and local business units in Mount Pleasant, Michigan, see Figure 153 Prior to the deployment of the network, students going off the campus of Central Michigan University (CMU) would have to rely on the dial-up speeds of the university modems, which could provide only a basic level of connectivity unsuitable for high-bandwidth applications There was thus an increasing demand for a cost-effective high-speed Internet access solution which could be extended beyond the university campus A network offering such ubiquitous access to services such as video-on-demand (VoD), Voice over IP (VoIP), interactive streaming video and high-speed Internet access was required to extend the learning environment of the university Since the solution was required to provide ubiquitous access at an affordable price, the network was deployed in the apartment complexes surrounding the campus by creating a consolidated infrastructure for the old and new complexes using the existing T1 wired backbone of the old apartments Using the ber backbone of Last Mile Technologies, the citywide wireless network has been deployed through Proxim s wireless Tsunami point-to-point and point-to-multipoint outdoor wireless products In order to maximize the cost effectiveness of the solution, the high-speed wired backbone of the existing T1 lines has been extended to all the major units within the complexes, and the network has been further extended through Proxim s outdoor wireless products to provide coverage to a larger area of the city Residential users can connect to the Ethernet network through any of the 80211b access points of the indoor wireless LAN The entire wireless network has been deployed at a cost of around $240 000 and is expected to yield around $290 000 in terms of revenue per year The wireless backhaul is a 45 Mbps pointto-point link, and the network comprises several 20 Mbps and 60 Mbps base station units and 20 Mbps subscriber units located in different sectors within the city The network covers a four to six mile radius, along with student housing, to provide highspeed broadband access to around 4500 students of Central Michigan University (CMU) residing in eight apartment complexes around the university With around 60 percent of the university town housing being rental, there are plans to extend the network capacity to accommodate around 5000 additional students who are expected to reside in additional apartment complexes High-speed wireless Internet access plans are vailable at $2495 a month for speeds of 256 kbps to 512 kbps, and at $4995 a month for speeds from 256 kbps to 15 Mbps, primarily targeted at local businesses Around twenty local business units comprising manufacturers, architects, gas stations and city of ces have already joined the network, in addition to hotels and apartment complexes in other areas of the city The network provides enterprise-class speeds and capacity to businesses in a way that has not been possible before, and allows for easier expansion to accommodate an increased subscriber base in the event of future growth.



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If the sink-to-AR distance is increased too much and the sink-AR delay constraint is violated, then the sink needs to select another access relay EED is an ef cient algorithm to minimize energy consumption and meet delay requirements However, it does not propose service differentiation among ows toward different sinks Furthermore, decrease of reliability in data delivery due to possible link errors in wireless channels is not addressed Additional mechanisms to address path changes due to link errors and congestion are needed DEED adjusts the delay/distance parameter to handle congestion, but this does not guarantee avoiding highly congested local spots Furthermore, these additional mechanisms must be local and should not alter the overall tree structure 1349 QoS for Data Relaying in Hierarchical WSNs [27] This study presented in reference [27] addresses the selection of one or more routes from sensors to a base station.

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The routes are chosen such as to satisfy the delay requirements In this study, large heterogeneous WSNs are considered which are organized in three tiers of hierarchy: a base station (BS), relay nodes (RN), and nally sensor nodes acting as data sources Relay nodes are placed such that connectivity is maintained Additional relay nodes are placed to improve energy consumption and reduce interference However, increasing the number of relay nodes increases the end-to-end delay Furthermore, relay nodes that are closer to the base station consume more energy compared to others To address these issues, a hybrid approach is proposed that introduces relay gateways (RG) that receive data from relay nodes and send them directly (in a single hop) to the base station RGs are pre-deployed in the network and are stationary The routing decisions at RN-RG and RN-RN communication level consider the system lifetime as a constraint.

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System lifetime is de ned as the time until at least one RN or RG depletes its energy supply The lifetime of a node is modeled by the maximum amount of traf c it can handle, which is called the node capacity The routing from sensors to relay nodes is assumed to be handled by low level protocols Hence, this protocol only deals with ef cient routing of data among relay nodes by delivering it to one of the RGs while meeting the delay requirements Two different cases of selecting a relay path are proposed: multipath relaying with delay constraints (MPD) and unconstrained multipath relaying (MP) Two different algorithms that are both centralized and optimal are proposed to solve these problems In the MP problem, the aim is to minimize the end-to-end communication cost while meeting the capacity constraints of RNs and RGs.

However, this problem does not deal with end-to-end delays The WSN is modeled as a directed graph composed of a set of vertices (composed of RNs and RGs) and a set of arcs which represent the edges between vertices The cost c of sending a packet over an arc is de ned as a function of individual arcs Furthermore, the ow of data over an arc is de ned as a separate function x, which is used to model the routing decisions of every RN However, the demand of every node should be met and the capacity of all odes should be observed The MPD with feasible paths formulation can be solved optimally using a linear program The advantage of feasible path formulation over the ow function formulation is that the number of constraints is linear in the size of the graph.

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Column generation, which is an implementation of the simplex algorithm for solving linear programs, is used to nd a solution to the MPD problem This work is based on a graph representation of a WSN, which is used to nd QoS-based paths in an hierarchical structure However, methods to handle network dynamics is not considered Furthermore, since the algorithm is centralized, it is assumed that every parameter, including the topology, link bandwidths, and link costs, are known at a central location, which is not very practical A distributed implementation is needed to ensure its practical applicability Drawing Bar Code In NET Using Barcode printer for NET Related: Codabar Creating Java , Create QR Code NET , EAN-13 Printing C#.

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Satellite services have been available for many years, based on GEO satellites These last have been mainly used for telephone communications, (analog) television distribution and various military applications Satellite access clearly has signi cant advantages in terms of rapid deployment and national coverage, but has high cost and system capacity limitations, especially for the uplink traf c In fact, although a GEO-based bidirectional Internet service referred to as Direct- PC is currently ongoing in the USA, the capacity of the plink channel is limited to 12 Mbps [41] Therefore, up to now, direct video broadcast satellite (DVBS) is the main application of GEO-based systems The DVBS system utilizes GEO satellites working in the Ku band (eg, 122/127 GHz in downlink/uplink, respectively) The architecture of the DVBS access system is sketched in Figure 146 The uplink stream is typically composed of 500 MPEG-coded multiplexed video channels, and the power radiated in the downlink by the GEO transponder is of the order of 120 Watts, to allow the utilization of a small-size antenna at the customer premises However, while their coverage is very broad, GEO satellite systems present several signi cant limitations Power constraints and antenna size (limited to up to 2 ft diameter for residential applications) constrain the aggregated downlink throughput from a GEO satellite to about 100 200 Mbps. DataMatrix Creator In Java Using Barcode printer for Java .Related: VB.NET UPC-E Generation , Make EAN 128 .NET WinForms , Print Code 39 Java

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