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Thus, the energy consumed by a sensor i in receiving a k-bit data packet is given by, Rxi = elec k, while the energy consumed in transmitting a data packet to sensor j is 2 given by, T xi, j = elec k + amp di, j k, where di, j is the distance between nodes i and j We de ne the lifetime T of the system to be the number of cycles until the rst sensor is drained of its energy A data gathering schedule speci es, for each cycle, how the data packets from all the sensors are collected and transmitted to the base station A schedule can be thought of as a collection of T directed trees, each rooted at the base station and.

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Obviously, the first part of the array identifies the data type of the elements within the array The square brackets that are part of the declaration identify the rank, or the number of dimensions, for the array; in this case it is an array of rank one These two pieces form the data type for the variable languages

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spanning all the sensors, i.e. a schedule has one tree for each round. The lifetime of a schedule equals the lifetime of the system under that schedule. The objective is to nd a schedule that maximizes the system lifetime T . Data aggregation performs in-network fusion of data packets, coming from different sensors enroute to the sink, in an attempt to minimize the number and size of data transmissions and thus save sensor energies. Such aggregation can be performed when the data from different sensors are highly correlated. As usual, we make the simplistic assumption that an intermediate sensor can aggregate multiple incoming packets into a single outgoing packet. The problem is to nd a data gathering schedule with maximum lifetime for a given collection of sensors and a sink, with known locations and the energy of each sensor, where sensors are permitted to aggregate incoming data packets. Consider a schedule S with lifetime T cycles. Let f i, j be the total number of packets that node i (a sensor) transmits to node j (a sensor or sink) in S. The energy constraints at each sensor, impose

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The schedule S induces a ow network G = (V, E) The ow network G is a directed graph having as nodes all the sensors and the sink, and edges (i, j) with capacity f i, j whenever f i, j > 0 If S is a schedule with lifetime T , and G is the ow network induced by S, then, for each sensor s, the maximum ow from s to the sink t in G is T This is due to the fact that each data packet transmitted from a sensor must reach the base station The packets from s could possibly be aggregated with one or more packets from other sensors in the network Intuitively, we need to guarantee that each of the T values from s in uences the nal value(s) received at the sink.

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Listing 228 defines an array with a rank of one Commas within the square brackets define additional dimensions Listing 229, for example, defines a two-dimensional array of cells for a game of chess or tic-tac-toe

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