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The farther the sink travels, the more it takes to get to the new site and the higher the delay suffered by the data For containing this delay, a new parameter called dMAX is introduced that represents an upper bound on the distance that the sink can travel from a site to the following one The pair (S, dMAX ) uniquely de nes a graph of sink sites where there is a link between two sites if and only if their (Euclidean) distance is dMAX Figure 102 shows the four sites (darker squares) the sink (the triangle) can reach from its current position The lighter lines between the sites of Figure 102 indicate that the sink can only move horizontally or vertically in the 5 5 grid.

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Essentially, the receiver witholds generating an ACK after a successful segment reception so as to slow down the sending rate increase at the sender and avoid synchronised losses at the routers The difference between the two schemes lies in how the delay is computed Under the Exact RDC scheme, as depicted in Figure 106a, routers are responsible for computing the delays based on their congestion levels, which are then appended to the segment as delay noti cation It is this noti cation which nally determines the degree of delay, a receiver will impose on a segment In 1-bit RDC as shown in Figure 106b, the receiver approximates the delay according to the Explicit Congestion Noti cation (ECN) congestion signal [43] received by the routers, which presupposes the existence of an active queue management mechanism (AQM) such as RED [44].

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In the case of high rate sink mobility and low data traf c, the energy cost for route construction and release can be signi cant Therefore, this cost should be explicitly taken into account Finally, in order to evaluate the impact of different sink mobility rates, the parameter tmin is introduced to represent a mandatory minimum time the sink has to sojourn at a site (High tmin values slow the sink down, while low tmin values allow it to move faster) The problem we set out to solve here is the following: Determine the starting site and the route for the mobile sink over the graph (S, dmax ), together with the sojourn times tk tmin of the sink at each visited site k S so that network lifetime is maximized MILP formulation Here are the sets, the parameters, and the variables used for formalizing the problem.

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a low to occur in the stock market. This article was written in the middle of October to make the printing deadline. There was no turning back after all, who wants to be wrong in their predictions Most analysts expected the traditional Santa Claus rally prior to the holiday season. The fact of the matter is that the market did make a low in the last week of December, as the 11-week cycle projected (Figure 8.11), and the S&P 500 index proceeded to gain more than 50 points (nearly 600 points in the Dow)! An interesting point regarding this 11-week cycle: 11 is not a Fibonacci series number. However, it has Fibonacci connections, as previously noted. A good point to raise now is that shorter-term cycles within the Fibonacci framework do occur within longer-term cycles. The term referencing this tie is called a harmonic timing event. Cycles do not react exactly the same way. Not all moves will be proportionally equal. The charts with the 5-month and 11-week cycles will certainly point this out. So why study cycles and use the Fibonacci series or time counts In this case, they seem to have a bearing on when the equity markets rally. Once again, following a repetitive trend or pattern is what a technician is after.

The receiver then estimates the amount of time to delay each segment This delay may increase if a congestion signal is received, or it may decrease otherwise In Kung et al [9] a One-Bit Sender-Based Delay Control (SDC) is also proposed which works similarly to the 1-bit RDC method, differing only that the delay is implemented at the sender rather than the receiver However, since the sender is privy to more information than the receiver namely, round-trip time (RTT) and congestion window (cwnd) size it can more accurately adjust the delay to approximate traditional TCP The performance evaluation of SDC over a bottleneck topology with dense, longlived traf c (50 TCP ows) is used in Hsiao et al [42] as a means of demonstrating its performance merits In particular, it has been shown that for TCP NewReno agents,.

r Let S be the set of sink sites that is, the locations at which the sink may sojourn: S = {1, , q}..

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