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- W2916641566 endingPage "25" @default.
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- W2916641566 abstract "Wireless sensor network (WSN) is one of the most promising technologies for some real-time applications because of its size, cost-effective and easily deployable nature. Due to some external or internal factors, WSN may change dynamically and therefore it requires depreciating dispensable redesign of the network. The traditional WSN approaches have been explicitly programmed which make the networks hard to respond dynamically. To overcome such scenarios, machine learning (ML) techniques can be applied to react accordingly. ML is the process of self-learning from the experiences and acts without human intervention or re-program. The survey of the ML techniques for WSNs is presented in [1], covering period of 2002–2013. In this survey, we present various ML-based algorithms for WSNs with their advantages, drawbacks, and parameters effecting the network lifetime, covering the period from 2014–March 2018. In addition, we also discuss ML algorithms for synchronization, congestion control, mobile sink scheduling and energy harvesting. Finally, we present a statistical analysis of the survey, the reasons for selection of a particular ML techniques to address an issue in WSNs followed by some discussion on the open issues." @default.
- W2916641566 created "2019-03-02" @default.
- W2916641566 creator A5023747211 @default.
- W2916641566 creator A5053194927 @default.
- W2916641566 creator A5062190023 @default.
- W2916641566 date "2019-09-01" @default.
- W2916641566 modified "2023-10-14" @default.
- W2916641566 title "Machine learning algorithms for wireless sensor networks: A survey" @default.
- W2916641566 cites W1103619342 @default.
- W2916641566 cites W1458377232 @default.
- W2916641566 cites W1484030678 @default.
- W2916641566 cites W1491634537 @default.
- W2916641566 cites W1572720730 @default.
- W2916641566 cites W1579933100 @default.
- W2916641566 cites W1752018616 @default.
- W2916641566 cites W1858904274 @default.
- W2916641566 cites W1871618398 @default.
- W2916641566 cites W1967335037 @default.
- W2916641566 cites W1967946563 @default.
- W2916641566 cites W1973742258 @default.
- W2916641566 cites W1974872606 @default.
- W2916641566 cites W1997349742 @default.
- W2916641566 cites W1998871699 @default.
- W2916641566 cites W1999840231 @default.
- W2916641566 cites W2000556106 @default.
- W2916641566 cites W2002419435 @default.
- W2916641566 cites W2003122818 @default.
- W2916641566 cites W2003321974 @default.
- W2916641566 cites W2004610165 @default.
- W2916641566 cites W2010900291 @default.
- W2916641566 cites W2020246210 @default.
- W2916641566 cites W2021960826 @default.
- W2916641566 cites W2028047877 @default.
- W2916641566 cites W2030178157 @default.
- W2916641566 cites W2035559399 @default.
- W2916641566 cites W2036413480 @default.
- W2916641566 cites W2040895929 @default.
- W2916641566 cites W2041646220 @default.
- W2916641566 cites W2042385018 @default.
- W2916641566 cites W2045533883 @default.
- W2916641566 cites W2049287639 @default.
- W2916641566 cites W2050077639 @default.
- W2916641566 cites W2052369123 @default.
- W2916641566 cites W2052965513 @default.
- W2916641566 cites W2056609728 @default.
- W2916641566 cites W2056967039 @default.
- W2916641566 cites W2057245489 @default.
- W2916641566 cites W2057307046 @default.
- W2916641566 cites W2057416592 @default.
- W2916641566 cites W2066315659 @default.
- W2916641566 cites W2069336607 @default.
- W2916641566 cites W2075295319 @default.
- W2916641566 cites W2077056987 @default.
- W2916641566 cites W2082384736 @default.
- W2916641566 cites W2087682741 @default.
- W2916641566 cites W2088252378 @default.
- W2916641566 cites W2089468765 @default.
- W2916641566 cites W2092348181 @default.
- W2916641566 cites W2095713606 @default.
- W2916641566 cites W2098502158 @default.
- W2916641566 cites W2107568926 @default.
- W2916641566 cites W2108471196 @default.
- W2916641566 cites W2114832965 @default.
- W2916641566 cites W2122904721 @default.
- W2916641566 cites W2130695501 @default.
- W2916641566 cites W2138862945 @default.
- W2916641566 cites W2141527672 @default.
- W2916641566 cites W2148140427 @default.
- W2916641566 cites W2149298154 @default.
- W2916641566 cites W2156626839 @default.
- W2916641566 cites W2161160262 @default.
- W2916641566 cites W2162565149 @default.
- W2916641566 cites W2163190245 @default.
- W2916641566 cites W2165116724 @default.
- W2916641566 cites W2167027081 @default.
- W2916641566 cites W2168452204 @default.
- W2916641566 cites W2170239483 @default.
- W2916641566 cites W2173467521 @default.
- W2916641566 cites W2175204221 @default.
- W2916641566 cites W2175325073 @default.
- W2916641566 cites W2182132145 @default.
- W2916641566 cites W2207718193 @default.
- W2916641566 cites W2215523346 @default.
- W2916641566 cites W2216675151 @default.
- W2916641566 cites W2219395474 @default.
- W2916641566 cites W2219783692 @default.
- W2916641566 cites W2239060899 @default.
- W2916641566 cites W2256942208 @default.
- W2916641566 cites W2261059368 @default.
- W2916641566 cites W2263947728 @default.
- W2916641566 cites W2275153904 @default.
- W2916641566 cites W2276520448 @default.
- W2916641566 cites W2278334872 @default.
- W2916641566 cites W2288437812 @default.
- W2916641566 cites W2291888299 @default.
- W2916641566 cites W2293710996 @default.
- W2916641566 cites W2304119270 @default.
- W2916641566 cites W2310779760 @default.