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Because of the resource constraint, type\u2010variant and battery\u2010powered features of the sensor nodes, the key challenge is how to improve the energy usage and network life in the heterogeneous sensor networks. In this paper, the Mahalanobis distance based K\u2010Means algorithm is integrated with a novel evolutionary approach for clustering called calf search optimization algorithm (K\u2010CSOA) that creates energy efficient clusters. The routing in the network is performed using a power efficient ant colony optimization algorithm (ACO). The extensive and multiple simulations are performed to validate the effectiveness of the proposed method. It is observed that the running time of the proposed scheme is lowered due to the implementation of hybrid clustering. The results are validated for various performance metrics wherein the proposed method shows 41.6% and 4.3%\u201312% reduction in energy expenditure and end\u2010to\u2010end delay respectively and around 60% enhancement in the throughput of the network when compared with other similar state\u2010of\u2010the\u2010art methods. In addition to this, statistical analysis is also carried out to identify the performance of the proposed algorithm.<\/jats:p>","DOI":"10.1111\/exsy.13121","type":"journal-article","created":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T03:44:26Z","timestamp":1660016666000},"update-policy":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A performance efficient joint clustering and routing approach for heterogeneous wireless sensor networks"],"prefix":"10.1111","volume":"40","author":[{"ORCID":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/orcid.org\/0000-0003-3496-8397","authenticated-orcid":false,"given":"Pallavi","family":"Joshi","sequence":"first","affiliation":[{"name":"Department of Electronics and Communication Engineering National Institute of Technology Raipur  Chhattisgarh India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/orcid.org\/0000-0001-9459-1312","authenticated-orcid":false,"given":"Sarvesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Department of Computer science and Engineering Babu Banarasi Das University  Lucknow India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajay Singh","family":"Raghuvanshi","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering National Institute of Technology Raipur  Chhattisgarh India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,8,8]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.4355"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/dac.4344"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-019-06993-9"},{"key":"e_1_2_10_5_1","doi-asserted-by":"crossref","unstructured":"Al\u2010KhayyatATA IbrahimA.Energy optimization in wsn routing by using the K\u2010means clustering algorithm and ant colony algorithm. 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