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3 Data Collection by the MULE After its rst passage through the network, the MULE keeps moving up and down its route collecting data from the nodes along its path Nodes polled by the passing MULE transmit their packets along with those of the nodes in their trees Motion Control Algorithm Since the route of the MULE is xed, motion control reduces to speed regulation This is done by xing the round trip time (RTT) of the MULE Then, three possible strategies are described in reference 32 that correspond to different strategies of MULE movements 1 The path is traversed at a certain xed speed Let us assume that at this speed the MULE takes T < RTT to travel its route (and back) The remaining spare time RTT-T is divided equally among the nodes along the MULE s route, and the MULE stops at each node for this time.

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by the sender). Such a delay in ACK transmission could be as high as approximately 500 ms (the maximum recommended time length of the expiration timer [37]). This undesirable situation is depicted in Figure 10.4. To facilitate the delay in ACK production in a dynamic way, Altman and Jim nez e [6] identify that the above two factors, namely path length and packets-in- ight, cannot be known at the receiving end without utilizing extra signaling. Hence, the technique is applied in a generally useful fashion, which means that it is designed to provide modest returns in the case of short paths but reasonable gains in throughput otherwise. Speci cally, a delay coef cient parameter, d, is introduced to the receiving end of a TCP connection where it de nes the number of ACKs the receiver should delay before responding to the reception of DATA segments. Hence, if d = 2 the scheme becomes equivalent to the standard delayed ACKs mechanism described in Section 10.4.2. Then, three thresholds are de ned, l1 , l2 , l3 according to the sequence number N of the received DATA segment.1 . For N < l1 , d = 1, for l1 N < l2 , d = 2, for l2 N < l3 , d = 3 and for l3 N, d = 4. The set of threshold values used in the subsequent evaluation is {l1 , l2 , l3 } = {2, 5, 9}. The principal notion is to increase the delay coef cient as more and more segments appear in order. It is hoped that during that time period the number of packets-in- ight will gradually increase and the increase in the delay coef cient will, thus, have a meaningful and positive impact. The algorithm is outlined in Algorithm 2.

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Not only did the low on July 24, 2002, fall on the five-month number but also on the day of a full moon The significance of the five-month cycle is that it is a Fibonacci series number and is approximately 100 trading days, which is a Fibonacci ratio figure and the length of a moving average that many traders watch Not all of the lows on the chart are monumental lows, but more times than not they are distinctive lows Pivot point analysis pinpointed the R2 target weekly low for the July low at 78167, close to the actual figure..

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The MULE might not know about the node location Therefore, the MULE stops as soon as it hears from the node 2 The MULE travels the route at the constant speed of (length of route)/RTT and does not stop at the nodes 3 The speed of the MULE adapts to the current situation of (the queue of) the nodes This can be realized by having the MULE traveling at the speed 2 (length of route)/RTT The extra amount of time is divided among those nodes from which the MULE has collected a limited amount of data (determined by a given threshold) in the previous round (The set of nodes the MULE stops at changes at each round) Further details about the described algorithms as well as its implementation on a real-hardware testbed can be found in reference 32.

1 The initial sequence number (ISN) for each endpoint is negotiated by TCP during the three-way handshake

Here we describe the natural evolution of this single-MULE solution to controlled mobility in the mostly single-hop routing realm: multiple controlled mobile elements (data MULEs) for data collection [33] The motivations are clear: The single MULE approach does not scale well If the number of nodes in the network increases, there are more nodes from which data must be collected in the same amount of time Therefore, packets might be dropped (buffer over ow) because the MULE cannot get to visit certain nodes on time Deploying multiple MULEs solves this scalability problem If the nodes are scattered randomly and uniformly throughout the deployment area, the obvious solution consists in dividing the area into same-size parts and having a MULE in each of these parts Given the deployment distribution, each MULE would have roughly the same amount of nodes to serve.

upon connection establishment and is 32-bits wide [18]. In this context, the sequence number is assumed to be 0 initially without loss of generality (the l thresholds may be presented as full-sized segment offsets, in bytes, to the initial negotiated ISN as appropriate).

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