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The paper categorises trust evaluation methods for wireless sensor networks into socio\u2010inspired, bio\u2010inspired, and analytical methods. Biologically inspired methods and socio constructs are rarely used in the design of trust schemes as opposed to analytical methods (probability, agent based, fuzzy, etc). The paper discusses existing bio\u2010 and socio\u2010inspired\u2013based trust schemes implemented for wireless sensor networks, viz quality\u2010based distance vector protocol, enhanced bio\u2010inspired trust and reputation model for wireless sensor network, bio\u2010inspired trust routing protocol, machine learning\u2013based bio\u2010inspired trust and reputation model, socio\u2010psychological trust and reputation model, and finally reputation framework for sensor network. The contributions, trust evaluation methods and limitations of recent trust models (i.e. analytical based, biological and socio\u2010inspired models) are discussed in this paper. The pros and cons of analytical, socio, and biologically inspired algorithms for computing are outlined to easily ascertain the relevance of adopting either biological or socio\u2010inspired approaches for solving trust\u2010related problems in wireless sensor networks.<\/jats:p>","DOI":"10.1002\/dac.3444","type":"journal-article","created":{"date-parts":[[2017,11,3]],"date-time":"2017-11-03T06:17:02Z","timestamp":1509689822000},"source":"Crossref","is-referenced-by-count":13,"title":["The adoption of socio\u2010 and bio\u2010inspired algorithms for trust models in wireless sensor networks: A survey"],"prefix":"10.1002","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8965-4371","authenticated-orcid":false,"given":"Henry","family":"Nunoo\u2010Mensah","sequence":"first","affiliation":[{"name":"Department of Computer Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kwame Osei","family":"Boateng","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James Dzisi","family":"Gadze","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering Kwame Nkrumah University of Science and Technology Kumasi Ghana"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2017,11,2]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_7_2_1","DOI":"10.1016\/S1389-1286(01)00302-4"},{"doi-asserted-by":"crossref","unstructured":"KhanSU.Approximate optimal sensor placements in grid sensor fields. 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