Distributed algorithms for transmission power control in wireless sensor networks
By Martin Kubisch, Holger Karl, Adam Wolisz, Lizhi C. Zhong, Jan M. Rabaey. 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003., 2003
337 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/d75b87936ad22b11d185697183f3b1ee52a3ff25
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In Computer Networks and Communications
Citations in the corpus
- Topology control for wireless sensor networks (2003, background): “[14] Kubisch M, Karl H, Wolisz A, Zhong LC, Rabaey J.”
- A Survey on Topology Control in Wireless Sensor Networks: Taxonomy, Comparative Study, and Open Issues (2008, background): “Kirousis et al. simplified it into a problem of transmission range assignment (power control under ideal models), and discussed its computation complexity [ 7 ].”
- ATPC: adaptive transmission power control for wireless sensor networks (2006, background): “These works can be classified in three major categories according to the transmission range and power assumptions: network-level uniform transmissio n power [27] [25] [2] [18] [31], node-level non-uniform trans mission power [11] [2] [18] [19] [28] [37] [17] [26] [30] [22] , and neighbor-level trans”
- A survey of multimedia streaming in wireless sensor networks (2008, background): “Power control [ 25 ] helps to prolong the lifetime of the SNs by allowing the nodes to transmit at lower”
- Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis (2020, methodology): “We focus on a sub-class of distributed local algorithms, titled, multiset broadcasting distributed local algorithms (MB-DLA) [38], which include a wide range of radio resource management algorithms in wireless networks, e.g., DTP [39], WMMSE [18], and FPlinQ [35].”
- Algorithmic Aspects of Topology Control Problems for Ad Hoc Networks (2002, neutral): “References [4, 18 ,23] present some results along that direction.”