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However, it is challenging to enable fast and energy-efficient flooding in sensor networks with low-duty cycles because it is rare that multiple neighboring nodes wake up at the same time, making broadcast instinct of wireless radio unavailable. The unreliability of wireless links deteriorates the situation. In this work, we study the delay-constrained flooding problem in order to disseminate data packets to all nodes within given expected delivery delay. In particular, a transmission power control\u2013based flooding algorithm is proposed to reduce the flooding delay in such low-duty-cycle sensor networks. According to the soft delay bound, each node can locally adjust its transmission power level. To alleviate transmission conflicts, the backoff method with transmission power adaptive mechanism has been proposed. Based on the large-scale simulations, we validate that our design can reduce flooding delay with small extra energy expenditure compared with conventional flooding schemes. <\/jats:p>","DOI":"10.1177\/1550147719840225","type":"journal-article","created":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T06:34:54Z","timestamp":1553841294000},"page":"155014771984022","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Delay-constrained flooding in extremely low-duty-cycle sensor networks"],"prefix":"10.1177","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2711-2507","authenticated-orcid":false,"given":"Zuzhi","family":"Fan","sequence":"first","affiliation":[{"name":"Department of Mathematics, Jinan University, Guangzhou, 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