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as the routes from the sensors to the sinks Time is divided into rounds At the beginning of each round, information on the nodes residual energy is centrally gathered and the ILP problem is solved for nding the new locations for the sink that minimize the maximum energy consumption spent at the nodes during that round Minimizing the energy consumption results in increased network longevity No constraints are enforced on the sink movements, and there is no relation between the number of the sinks and their position in subsequent rounds: The model is solved from scratch every time The problem of network lifetime maximization through controlled sink mobility is explicitly addressed in reference 54 for networks with a single sink Sink locations and sink sojourn times at those locations are determined that maximize the network lifetime via a new LP formulation of the problem.

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Such techniques aiming to reduce spatial contention caused by ACKs are named ACK-thinning or ACK-reducing and are the point of focus for this survey 104 ACK-THINNING TECHNIQUES 1041 Introduction As discussed in Section 1032, ACK-thinning or ACK-reducing techniques aim to alleviate the effects of spatial contention caused by competition of DATA and ACK TCP segments along a multihop wireless path When overviewing such techniques, however, each proposed implementation has to be judged on more than its performance merits; it should be practically applicable and realistically implementable, especially if the proposed changes concern the MAC layer, which may in turn imply changes in the rmware of the wireless transceiver (which makes deployment a more involving affair than, say, end-to-end alterations).

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Maximizing the network lifetime is maximizing the sum of sojourn times of the sink at the visited locations (in this case they coincide with the sensor locations) The experiments in reference 54 refer to scenarios where n = L2 nodes are arranged in a L L grid The sink has no limitation on the time tk 0 it can spend at sensor k and can move from any location to any other location in the network The network lifetime is improved by a factor of 5 This happens when the sink sojourns at the nodes located at the four corner areas and in the central area of the grid Papadimitriou and Georgiadis [55] present another centralized solution for the problem of maximizing network lifetime by combining the model presented in reference 54 and the LP formulation for maximum lifetime routing described in reference 57.

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Furthermore, the limited processing capabilities and power reserves of the mobile node have to be taken into account, which precludes considering mechanisms of signi cant time and space complexity Each ACK-thinning technique outlined below includes an overview of its principles of operation and explicit discussion on its implementation requirements The coarse, initial division of the proposals is between end-to-end and hybrid approaches The former implies that changes need only be made at the sender and/or receiver of the communications path, without altering the forwarding nodes in between The latter indicates that alterations are required on a point-to-point basis, which is in every intermediate node in the communications path, and, possibly, at the endpoints as well For each method a further distinction is made between methods that require feedback and interaction amongst the layers of the protocol stack (named cross-layer approaches) and those that do not (called single-layer approaches).

A constant of the model in reference 54 is here turned into a variable so that the resulting model presented solves both (a) the problem of determining the sink sojourn times at the given sites and (b) the routing of the packets to the current position of the sink This routing-dependent solution achieves improvements with respect to the lifetime values of reference 54 that are twofold Lifetime maximization as a min max problem is the idea explored by Luo and Hubaux [56] The authors consider together sink mobility and data routing A load balancing solution is presented that, while keeping the sink moving along the external perimeter of the network, achieves lifetimes 500% higher than when the sink stays still in the center of the network.

Bollinger s work with computers dates back nearly 30 years Not only does his expertise on Bollinger bands benefit all kinds of traders from individuals to institutions and from stocks to commodities, but his studies on group sectors and the equity markets also are immense (His latest achievement is found at wwwpowergroupcom) The first time he appeared on my program, he offered fabulous advice on the market and instructed listeners with a real-time example on using Bollinger bands on the mini-sized Dow futures contract With the Dow at 8500 at the time and at the top band of resistance, he explained how the market could walk the band and continue higher The Dow, in fact, managed to rally another 800 points.

Further insight on the categorization is included in Section 105..

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