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On the complexity of computing minimum energy consumption broadcast subgraphs
- in Symposium on Theoretical Aspects of Computer Science
, 2001
"... Abstract. We consider the problem of computing an optimal range assignment in a wireless network which allows a specified source station to perform a broadcast operation. In particular, we consider this problem as a special case of the following more general combinatorial optimization problem, calle ..."
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Cited by 84 (7 self)
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Abstract. We consider the problem of computing an optimal range assignment in a wireless network which allows a specified source station to perform a broadcast operation. In particular, we consider this problem as a special case of the following more general combinatorial optimization problem, called Minimum Energy Consumption Broadcast Subgraph (in short, MECBS): Given a weighted directed graph and a specified source node, find a minimum cost range assignment to the nodes, whose corresponding transmission graph contains a spanning tree rooted at the source node. We first prove that MECBS is not approximable within a constant factor (unless P=NP). We then consider the restriction of MECBS to wireless networks and we prove several positive and negative results, depending on the geometric space dimension and on the distance-power gradient. The main result is a polynomial-time approximation algorithm for the NP-hard case in which both the dimension and the gradient are equal to 2: This algorithm can be generalized to the case in which the gradient is greater than or equal to the dimension. 1
On the Approximation Ratio of the MST-based Heuristic for the Energy-Efficient Broadcast Problem in Static Ad-Hoc Radio Networks
- Problem in Static AdHoc Radio Networks. Int. Parallel and Distributed Processing Sympos. (IPDPS
, 2003
"... We present a new analysis of the approximation ratio of the MST-based heuristic [1] for the Minimum Energy Broadcast Problem in Ad-Hoc Radio Networks. ..."
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Cited by 11 (0 self)
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We present a new analysis of the approximation ratio of the MST-based heuristic [1] for the Minimum Energy Broadcast Problem in Ad-Hoc Radio Networks.

