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The previous work which only considers how to reduce interference within close-by links, however, fails to improve the network throughput for rechargeable wireless network in which a node, powered by ambient energy (such like solar and vibration) has to be recharged before it can communicate with other nodes. Thus, link scheduling with rechargeable nodes is constrained not only by co-channel interference but also by energy replenishment of the node. In this paper, we develop efficient link scheduling algorithms to improve the network throughput of rechargeable wireless ad hoc and sensor networks. The proposed design, based on realistic network models and mathematical formulation, achieves constant ratio of the best solution. Besides the theoretical analysis, simulation experiments are conducted to evaluate our algorithms.<\/jats:p>","DOI":"10.1186\/1687-1499-2013-223","type":"journal-article","created":{"date-parts":[[2013,9,5]],"date-time":"2013-09-05T08:16:16Z","timestamp":1378368976000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Efficient link scheduling for rechargeable wireless ad hoc and sensor networks"],"prefix":"10.1186","volume":"2013","author":[{"given":"Guodong","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guofu","family":"Qiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2013,9,5]]},"reference":[{"key":"793_CR1","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1145\/871506.871624","volume-title":"ISLPED, Proceedings of the 2003 International Symposium on Low Power Electronics and Design, JW Marriott Hotel, Seoul, 25\u201327 Aug 2003","author":"A Kansal","year":"2003","unstructured":"Kansal A, Srivastava M: An environment energy harvesting framework for sensor networks. 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