Title : 
Distributed beamforming for wireless sensor networks with random node location
         
        
            Author : 
Zarifi, Keyvan ; Affes, Sofiene ; Ghrayeb, Ali
         
        
            Author_Institution : 
INRS-EMT, Univ. du Quebec, Montreal, QC
         
        
        
        
        
        
            Abstract : 
Due to the unsupervised nature of wireless sensor networks (WSNs), intensive communications are required among the selected nodes to reach a consensus and synchronize prior to entering a distributed beamforming (DBF) procedure. Therefore, a sensible approach to select the nodes should not only take into account the required beampattern, but also should aim to preserve the inter-node connectivity and the network energy. We show for a uniformly distributed WSN that when the nodes are selected from a ring of proper radii, the resulting beampattern mainlobe is narrower compared to that of the classical DBF technique proposed in [1]. At the same time, our proposed technique may preserve a substantial amount of network energy and reduce the probability of network disconnectivity. Directivity of the proposed DBF technique is analyzed and an extension of the technique to a multi-ring case is presented. It is shown that the sidelobe peaks can be considerably decreased if the nodes are selected from multiple concentric rings.
         
        
            Keywords : 
array signal processing; wireless sensor networks; distributed beamforming; network energy consumption; random node location; wireless sensor network; Antenna arrays; Array signal processing; Energy consumption; Energy efficiency; Interference; Narrowband; Telecommunication network reliability; Wireless sensor networks; Beampattern; Distributed beamforming; Network energy consumption; Wireless sensor networks;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
         
        
            Conference_Location : 
Taipei
         
        
        
            Print_ISBN : 
978-1-4244-2353-8
         
        
            Electronic_ISBN : 
1520-6149
         
        
        
            DOI : 
10.1109/ICASSP.2009.4960070