ATPC: adaptive transmission power control for wireless sensor networks

By Shan Lin, Fei Miao, Jingbin Zhang, Gang Zhou, Lin Gu, Tian He, J. Stankovic, Sang Hyuk Son, George Pappas. ACM International Conference on Embedded Networked Sensor Systems, 2006

651 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/ff854a4ae216fca32d057e68ae2ca35f3e3a4afe

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In Computer Networks and Communications

Citations in the corpus

Radio link quality estimation in wireless sensor networks (2012, positive): “…of link quality is due to changes in the environment characteristics, such as climate conditions (e.g., temperature, humidity), human presence, interference, and obstacles [Cerpa et al. 2005b; Zhao and Govindan 2003; Reijers et al. 2004; Lin et al. 2006; Tang et al. 2007; Lin et al. 2009].”
Topology management techniques for tolerating node failures in wireless sensor networks: A survey (2014, background): “Section 6 enumerates open issues and outlines possible future research directions.”
Energy-Harvesting Wireless Sensor Networks (EH-WSNs) (2018, neutral): “Lin et al. (2006) proposed a pro- ACM Transactions on Sensor Networks, Vol. 14, No. 2, Article 10.”
Energy efficiency in wireless sensor networks: A top-down survey (2014, background): “Transmission Power Control (TPC) has been investigated to enhance energy efficiency at the physical layer by adjusting the radio transmission power [73,74].”
Energy Harvesting Sensor Nodes: Survey and Implications (2011, neutral): “Based on application requirements and availability of external hardware like an antenna, traditional battery powered nodes have a fixed setting for transmit power or one which does not change too often[ 27 ].”
Dynamic multi-objective routing algorithm: a multi-objective routing algorithm for the simple hybrid routing protocol on wireless sensor networks (2010, positive): “SHRP uses four metrics for this purpose such as (i) the local energy level (available battery), (ii) the number of hops to the Sink node and the quality of the physical connection ((iii) LQI – link quality indicator and (iv) RSSI – received signal strength Indicator) between neighbour nodes while lo”
Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links (2009, background): “We also assume the link quality changes noticeably over time, however, research [23] has indicated that the rate of change is slow, therefore measurements of the link quality can be updated at a very low cost (i.”