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Multiple sinks are located in the network and reduce the number of hops between the sensors and its sinks. We propose an efficient technique based on Bacteria Foraging Algorithm to identify the best optimal locations of sinks. The experimental results show that average end to end delay is minimized and average energy consumption of sensor nodes are reduced.<\/jats:p>","DOI":"10.1515\/jisys-2016-0271","type":"journal-article","created":{"date-parts":[[2017,4,29]],"date-time":"2017-04-29T06:00:29Z","timestamp":1493445629000},"page":"609-618","source":"Crossref","is-referenced-by-count":4,"title":["Bacteria Foraging Algorithm Based Optimal Multi Sink Placement in Wireless Sensor Networks"],"prefix":"10.1515","volume":"27","author":[{"given":"Pitchaimanickam","family":"Bose","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering , Kalasalingam University , Krishnan koil 626126, Virudhunagar District, Tamilnadu , India"}]},{"given":"Murugaboopathi","family":"Gurusamy","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering , Kalasalingam University , Krishnan koil 626126, Virudhunagar District, Tamilnadu , India"}]}],"member":"374","published-online":{"date-parts":[[2017,4,29]]},"reference":[{"key":"2025120523275897959_j_jisys-2016-0271_ref_001_w2aab3b7b9b1b6b1ab1b6b1Aa","doi-asserted-by":"crossref","unstructured":"S. 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