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In the scenario described above, sensor nodes in a data MULE setting consume one order of magnitude less energy than in the multihop scenario However, the gain in energy conservation is heavily paid in terms of endto-end data latency The difference in this case is as high as four orders of magnitude! This is due to (a) the extremely long time it takes for a MULE to visit the same cell twice and (b) the time needed to go back to the sink to deliver the packets These two factors are of course dependent on the number of MULEs, their speed, and the size of the deployment area We observed that varying MULEs speed from pedestrian (as shown here) to slow vehicular speed would not lead to improvements of more than one order of magnitude.

An apparent exception to.

Only introducing a high number of data MULEs would satisfy the latency requirements of many WSN applications This is sometimes impossible and is certainly costly 1062 Experiments for Data MULEs The kind of experiments that are meaningful to perform in the data MULE architecture mainly concern the average number of packet discarded, and hence lost, because of buffer over ow and the sensor-to-sink packet data latency It is interesting to notice that in order to interpret correctly the experimental results on these fundamental metrics, it is sometimes necessary to investigate other metrics and patterns, such as (a) the inter-arrival times of the MULEs at the different cells and (b) the average sojourn time of a MULE in a cell Here is an example of experimental investigation in the basic scenario depicted above.

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The dashed line represents the neckline from the head and shoulders pattern. The Elliott wave pattern develops with the bounce from point 1 and then a retest of that old support line is established when the neckline fails at point 4.

this rule may be feedback obtained from the routing protocol, if that feedback does not require special collaboration from intermediate nodes (ie, is standard in the routing protocol say, for example, hop count information) The end-to-end techniques examined in Section 1042 fall into the category of single layer modi cations, because transport layer changes are necessitated The Active Delay Control (ADC) method, contained in the same section (1042), consists of three variants: the Exact Receiver-Based Delay Control (RDC), the 1-bit RDC, and the Sender-based Delay Control (SDC) Of these, the Exact RDC technique requires explicit changes in the intermediate nodes and the TCP agent which makes it crosslayer The 1-bit RDC technique makes use of the ECN bit, but since this is an oftenused feature of an Active Queue Management (AQM) mechanism, there are no special cross-layer requirements.

We observed that the average number of packets discarded by the sensor nodes in the case of one MULE roaming among sensors with buffer size set to 10 (packets) is not high at all, especially for nodes that are toward the center of the deployment area There are a few nodes, however, that, given the presence of a single MULE and small buffers, have to drop some packets In this case the problem is the movement of the MULE itself, given that the random waypoint mobility leads the MULE toward the center of the deployment area with high probability The longer at the center, the longer the MULE inter-arrival times at the cells along the perimeter This is the reason for the observed 45% packet loss at the nodes in the corners.

This behavior is con rmed by an investigation of the inter-arrival times of 1, 2, and 4 MULEs at the same cell In all the considered scenarios the inter-arrival times values.

Of the hybrid techniques, the ACK-bundling facility described in Section 1043 requires changes that are con ned to the routing layer; therefore, it is single layer in nature Similarly, COPAS routing, as described in Section 1043, is a network-layeronly enhancement Split TCP requires both transport and network layer alterations because the proxies require special signaling (with their particular acknowledgment scheme) and the transport layer needs to be aware of this The discussion on the RTS/CTS scheme in Section 1043 is only pertinent to the link layer and is thus single-layered As may be apparent from the previous observations, the vast majority of the mechanisms proposed in the literature apply to a single layer in the networking stack The rationale for setting such a scope is based on pragmatism.

are extremely high (in the thousands of seconds or more), explaining why the data MULEs approach results in high packet latency As the number of MULEs increases, it takes less and less time before a MULE arrives at a given cell, as expected At the same time, given that the MULEs tend more to visit central cells than peripheral ones, the inter-arrival times are higher at the area borders MULEs visit each cell for the enforced 1 s The only cell that experiences a longer sojourn time is the one where the sink is located The higher the traf c and the area size and the lower the number of MULEs, the larger the amount of data stored in a MULE queue, which imposes longer times to unload the data to the sink Therefore, the time needed for data transfer may exceed 1 s.

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