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designed and working hardware), or, more frequently, from congestion in the network which causes otherwise valid packets to be dropped due to lack of buffer space Erasures are easier to deal with than errors since the exact position of the missing packets is known Recently, many efforts have been spent in the construction of erasure codes They rely on the same concepts of the aforementioned error detecting and correcting codes but operate on packet-sized data objects rather than on bit-streams, and they can be implemented in software using general-purpose processors The motivation for recent deployment of high-layer erasure codes is slightly different from that of previous low-layer error codes.

Figure 6-8: Range validator control example 1 As you can see from the code fragment, the MinimumValue property is set to 1 and the MaximumValue property is set to 4. Now, enter a value less than 1 or greater than 8 in the Number of tickets field and then press the Tab key. A screen similar to Figure 6-9 should be displayed.

Erasure codes are attracting interest in the new emerging communication scenarios where existing protocols are becoming unsuitable, or at least inef cient, because, for example, they are based on frequent handshaking between the communicating peers or because they assume the existence of a continuous end-to-end connection between peers Erasure codes have the potential to add to communication protocols (i) reliability of transmissions, (ii) scalability to the increasing number of hosts, (iii) adaptability to the topology changes of a network (eg, due to mobility or even power-saving strategies), and (iv) robustness to node/link failures These are very promising features, especially in scenarios like multicast transmissions, wireless networks (eg, ad hoc, sensor, vehicular ad hoc, etc), satellite networks, delay tolerant networks, and intermittently connected networks Software implementation for erasure codes is surely a challenging task due to the computational complexity.

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However, it has also been demonstrated that it can be done ef ciently [8, 22, 23] The rest of the chapter will focus on erasure codes and their more recent extension, network coding In the following section some types of erasure code will be presented, from the oldest to the most recent ones, and some examples of applicative scenarios will be given for each of them, as well..

4.3 ERASURE CODES Erasure codes are generally considered to be implementations of so-called digital fountains. Digital fountains are ideal, and unlimited data-streams are injected into the network by one or more source nodes. Nodes that are willing to receive information from those source nodes need to catch data from the stream until they have collected enough information to ful ll their needs. The way receivers catch data from the unlimited stream resembles the way people quench their thirst at a fountain. No matter which drops of water fall down on earth and which are drunk, the only important thing is that enough drops are caught. Source nodes generate digital fountains, sending out the data they are willing to send and adding redundancy to it via encoding. The redundancy added is practically unlimited because the generated data ow is in nite. Namely, suppose that k data packets are originated at a source node. After encoding, an unlimited stream of data packets is generated and injected into the network. The receiver node needs to receive exactly k data packets to be able to reconstruct the original source data. Moreover, any k data packets are suitable to the scope. Digital fountains have been introduced in reference 24 and so far have mainly been used in conjunction with multicast protocols to improve reliability of transmissions.

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There is a setup phase of the ad hoc network, during which a predetermined number, k, of hosts become the nodes of the support The members of the support perform a leader selection, which is run once and imposes only an initial communication cost The elected leader, denoted by MS0 , is used to coordinate the support topology and movement Additionally, the leader assigns local names to the rest of the members MS1 , MS2 , , MSk 1 The head moves by executing a random walk over the area covered by the network The nodes of supports move fast enough in a coordinated way so that they sweep (in suf ciently short time) the entire motion graph Their motion and communication are accomplished in a distributed way via a support management subprotocol The supports play a moving backbone subnetwork through which all communication is routed.

Figure 6-9: Range validator control example 2 Because you specified a range of 1 to 8, any other value will fail validation and your error message will be displayed. Enter a value within the range and then click Validate. A screen similar to Figure 6-10 is displayed.

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