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Furthermore, the decentralised nature of MANETs and the ephemeral nature of their wireless links provides opportunities for spoo ng, although these MANET characteristics also emphasize network resilience because there is no single point of failure in the network As an aside, it should be mentioned that when the bandwidth and energy storage capabilities of the nodes in a MANET are suf ciently small (perhaps in line with the node s physical size and computational capacity), then the wireless multihop network is classi ed as a sensor network and does not necessarily follow IP conventions Such networks are not considered in this study but may be of interest to some readers, who are encouraged to refer to other chapters in this book or consult Marr n et al [17] for o further details 102.

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All these applications involve mobility: Sensor nodes can move (e.g., assisted living through wearable sensors, tracking, etc.) as well as the data collectors (robots or AUVs). In this chapter we motivate and illustrate the use of mobility in WSNs. Furthermore, we demonstrate how mobility is actually advantageous for improving the performance of these networks.

2 TCP: End-to-End Congestion Control The Transmission Control Protocol (TCP) has been widely and successfully deployed on the Internet and other networks as a means of end-to-end, byte-stream-oriented communication between two hosts This section provides a brief overview of TCP mechanisms as a prelude to Section 103 on TCP behavior over MANETs Readers interested in more details about TCP are advised to consider the excellent reference work in Stevens [18] In general, TCP provides a connection-oriented service, usually on top of IP, between pairs of processes running on (usually) different hosts TCP performs stream data transfers and achieves multiplexing by allowing several pairs of application processes on the same hosts to communicate at the same time over the same network protocol (again, usually IP) TCP further ensures reliability and in-order delivery of data even if the lower protocol does not.

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Stochastics do well in volatile or choppy market conditions, unlike moving average studies, which do not However, in trending market conditions, stochastics may generate false buy or sell signals Visual observation of your charts combined with the help of computercalculated price indicators can be powerful aids for traders The general rule is to trade and use signals that coincide with the overall trend For example, if the trend is down, wait for a correction and then watch for a sell signal to develop As seen in Figure 87, the trend is clearly lower on the S&P 500 futures chart in the first week of May when the stochastics generates a bullish divergence buy signal and the market shows a 50-plus point gain By the end of.

1011 Motivating the Use of Mobility in WSNs Most of the research in WSNs concerns networks whose nodes do not move and cannot be replaced Nodes sense events of interest, and some energy-ef cient routing protocol is used for delivering the sensed data to static sinks In this scenario, it has been observed that the nodes that more than all the others have their energy drained from data communication are those closer to the sinks These nodes relay data for all the other nodes in the network as well as packets from the sinks to the sensors As a consequence, nodes that are closer to the sinks soon die from energy depletion resulting in the disconnection of the sinks from the rest of the network The problem of energy drainage at the sink neighbors is referred to as the sink neighbors problem.

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