Title : 
Capacity and Energy-Consumption Optimization for the Cluster-Tree Topology in IEEE 802.15.4
         
        
            Author : 
Theoleyre, Fabrice ; Darties, Benoît
         
        
            Author_Institution : 
LSIIT, Univ. of Strasbourg, Illkirch, France
         
        
        
        
        
            fDate : 
8/1/2011 12:00:00 AM
         
        
        
        
            Abstract : 
IEEE 802.15.4 proposes to use a cluster-tree hierarchy to organize the transmissions in Wireless Sensor Networks. In this letter, we propose a framework to analyze formally the capacity and the energy consumption of this structure. We derive a Mixed Integer Linear Programming (MILP) formulation to obtain a topology compliant with the standard. This formulation provides the optimal solution for the network capacity: this constitutes an upper bound for any distributed algorithm permitting to construct a cluster-tree. This framework can also be used to evaluate the capacity and to compare quantitatively different cluster-tree algorithms.
         
        
            Keywords : 
access protocols; channel capacity; distributed algorithms; energy consumption; integer programming; linear programming; statistical analysis; telecommunication network topology; wireless sensor networks; IEEE 802.15.4; cluster tree algorithm; cluster tree topology; distributed algorithm; energy consumption; mixed integer linear programming; network capacity; optimization; wireless sensor networks; Bandwidth; Clustering algorithms; Energy consumption; Network topology; Topology; Vegetation; Wireless sensor networks; IEEE 802.15.4; MILP; capacity; cluster-tree;
         
        
        
            Journal_Title : 
Communications Letters, IEEE
         
        
        
        
        
            DOI : 
10.1109/LCOMM.2011.061011.110525