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The problem of scheduling the visit to the sensor nodes of a single relay (called ME, for Mobile Element) so that there is no data loss (due to buffer over ow) is tackled in reference 34. The corresponding Mobile Element Scheduling (MES) problem is roven to be NP-complete, and centralized analytical model (ILP) and algorithms are given for solving the problem. In particular, given as input the data generation patterns. In Visual Basic .NET Using Barcode printer for .NET .Related: Generate Interleaved 2 of 5 C# , .NET WinForms Code 128 Generator , Intelligent Mail Generator .NET WinForms

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Barcode in Excel
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Denso QR Bar Code Printer In VS NET Using Barcode NETWORKS Reading QR Code In NET Using Barcode decoder for 5 COMPARING DIFFERENT APPROACHES TO MOBILITY The most promising use of mobility for enhancing the performance of WSNs has been shown to be obtained when resource-rich network components move that is, when either the sink itself or mobile relays are eft free to roam through the network for collecting data This part of the chapter is dedicated to describe and discuss how to compare two very different approaches to mobility in WSNs Our aim is twofold First of all, we want to gain an understanding of which among the many proposed solutions are the most promising ones in terms of usage and performance enhancement More than speci c mobility protocols, we are interested in determining which network architecture is the best for supporting ef ciently the application listed above.

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Then, we want to establish clear metrics and tools for comparing mobility solutions and obtain from this performance comparison new insights for protocol design and effective use of mobility By the study of what proposed in the literature, we could observe that when considering mobility of sinks and relays, the major difference in performance is made by whether routing between the sensor nodes and a sink/relay is single-hop or multihop This choice for the routing greatly affects essential metrics such as nodal energy consumption, packet latency, and probability of successfully delivering data to the sink/relay It has also immediate consequences on the design and cost of the wireless sensor node: When a multihop data routing protocol needs to be implemented, a node has to provide resources (storage, computation, etc) for enabling the forwarding of packets to the data collector; that is, a protocol stack has to be available.

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When routing is single-hop, instead, a simpler nodal architecture suf ces for storing the packets and for transmitting them to a relay when it passes by In the following we describe and investigate two network architectures that clearly show the impact of choosing multihop versus single-hop routing when sinks or relays roam through the network We consider single-hop routing according to the data MULE approach We will consider the original model [27], which exploits the uncontrolled mobility of multiple relays, and more recent works where it is shown that the relay mobility can be controlled by the network current conditions [33] We then show the pros and cons of multihop routing by describing an analytical model and distributed heuristics for sink mobility.

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As in the previous case, we consider and compare solutions where the mobility of the sink is controlled by the network itself with those where sink mobility does not depend on what is going on in the network [9, 10] 1051 The Data MULE Approach to Mobility in WSNs The idea of a Mobile Ubiquitous LAN Extension (MULE) [15, 27] stems from that of deploying mobile agents for carrying information [60], especially among nodes in possibly disconnected networks The concept is quite simple: MULEs are resourcerich nodes that roam freely throughout the network When as a result of its motion a MULE gets to be in the radio proximity of a wireless sensor node, it receives allRelated: Create EAN-8 C# , Make PDF417 NET WinForms , Creating QR Code NET WinForms.

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The idea is that even though a highly mobile node may ot be in the location last reported by the location tracking mechanism, it is likely to be in one of the surrounding locations. By spraying to the vicinity of the last-known location of the destination, the algorithm attempts to deliver packets to the destination even if it moves to a nearby location during the location tracking convergence time. A sprayed packet is rst unicast to a node close to the destination, and then it is multicast to multiple nodes around the destination. The magnitude of the spraying depends on the mobility: The higher the mobility, the larger the vicinity. Upon a change in af liation, a node sends a location update to its location manager. In order to communicate with a destination node, D, a source node sends a location subscribe to the location manager. The current location and changes (in location) thereafter are sent by the location manager to the source using a location information message. Note that it is possible that the destination gets duplicate packets, and it is assumed that there is an end-to-end duplicate detection mechanism that will discard such packets. Spray routing is an integrated location tracking and forwarding scheme. Both location managers and switches/routers participate in spray routing. How to choose the rst node at the beginning to forward to is not clearly explained in reference 24. An illustration of the spraying routing algorithm is given in Figure 8.7. 8.3.2 Estimation (of the Link Forwarding Probability)-Based Approach Instead of blindly forwarding packets to all or some neighbors, intermediate nodes estimate the chance, for each outgoing link, of eventually reaching the destination. Code 93 In VS .NET Using Barcode printer for .NET .Related: EAN 128 Generation VB.NET , Code 39 Creating Java , Codabar Generating .NET

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