Received signal strength indicator: Difference between revisions

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m Clarified that greater value, not higher number, indicates better RSSI. This helps people understand that an RSSI of -70 is not better than an RSSI of -50.
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RSSI can be used internally in a [[Wireless LAN|wireless networking]] card to determine when the amount of radio energy in the channel is below a certain threshold at which point the network card is [[IEEE 802.11 RTS/CTS|clear to send]] (CTS). Once the card is clear to send, a [[packet (information technology)|packet]] of information can be sent. The [[end-user]] will likely observe a RSSI value when measuring the signal strength of a wireless network through the use of a wireless network monitoring tool like [[Wireshark]], [[Kismet (software)|Kismet]] or [[Inssider]]. As an example, [[Cisco Systems]] cards have an RSSI maximum value of 100 and will report 101 different power levels, where the RSSI value is 0 to 100. Another popular [[Wi-Fi]] chipset is made by [[Atheros]]. An Atheros-based card will return an RSSI value of 0 to 127 (0x7f) with 128 (0x80) indicating an invalid value.
 
There is no standardized relationship of any particular physical parameter to the RSSI reading. The 802.11 standard does not define any relationship between RSSI value and power level in [[milliwatts]] or [[dBm|decibels referenced to one milliwatt]]. Vendors and chipset makers provide their own accuracy, granularity, and range for the actual power (measured as milliwatts or decibels) and their range of RSSI values (from 0 to RSSI maximum).<ref>{{cite webbook|last1=Lui|first1=Gough|last2=Gallagher|first2=Thomas|last3=Binghao|first3=Li|title=2011 International Conference on Localization and GNSS (ICL-GNSS)|chapter=Differences in RSSI readings made by different Wi-Fi chipsets: A limitation of WLAN localization|urlpages=https://ieeexplore.ieee.org/document/595528353–57|publisher=Localization and GNSS (ICL-GNSS), 2011 International Conference on |accessdatedoi=24 June 201310.1109/ICL-GNSS.2011.5955283|isbn=978-1-4577-0186-3|year=2011}}</ref> One subtlety of the 802.11 RSSI metric comes from how it is sampled{{mdash}}RSSI is acquired during only the preamble stage of receiving an 802.11 frame, not over the full frame.<ref name=":0" />
 
As early as 2000, researchers were able to use RSSI for coarse-grained ___location estimates.<ref name=bahl-infocom2000>{{cite web|last1=Paramvir|first1=Bahl|last2=Padmanabhan|first2=Venkata|title=RADAR: An In-Building RF-based User Location and Tracking System|url=http://research.microsoft.com/en-us/people/padmanab/infocom2000.pdf|work=2000|accessdate=19 December 2014}}</ref> More recent work was able to reproduce these results using more advanced techniques.<ref name="sev-mobisys2013">{{cite web|last1 = Sen|first1 = Souvik|last2 = Lee|first2 = Jeongkeun|last3 = Kim|first3 = Kyu-Han|last4 = Congdon|first4 = Paul|title = Avoiding Multipath to Revive Inbuilding WiFi Localization|url = http://dl.acm.org/citation.cfm?id=2464463|work = 2013|accessdate = 19 December 2014}}</ref> Nevertheless, RSSI does not always provide measurements that are sufficiently accurate to properly determine the ___location.<ref name=parameswaran-srds2009>{{cite web|last1=Parameswaran|first1=Ambili Thottam|last2=Husain|first2= M, I.|last3= Upadhyaya|first3= S. |title=Is RSSI a Reliable Parameter in Sensor Localization Algorithms – An Experimental Study|url=http://www.cse.buffalo.edu/srds2009/F2DA/f2da09_RSSI_Parameswaran.pdf|work=September 2009|publisher=28th International Symposium On Reliable Distributed Systems, New York|accessdate=17 March 2013}}</ref> However, RSSI still represents the most feasible indicator for localization purposes as it is available in almost all wireless nodes and it does not need any additional hardware requirements.<ref name=abdullah2016>{{cite web|url=https://www.researchgate.net/publication/309257981 |last1=Alhasanat|first1=Abdullah|last2=Sharif|first2= Bayan |last3= Tsemendis|first3= C. |title=Efficient RSS-based collaborative localisation in wireless sensor networks|work=January 2016 |publisher=International Journal of Sensor Networks, 22(1):27-36}}</ref>