A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit <a rel="external noopener" href="http://eudl.eu/pdf/10.4108/eai.28-9-2015.2261427">the original URL</a>. The file type is <code>application/pdf</code>.
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hdtexni3n5gtbhjgnktdwprk5y" style="color: black;">Proceedings of the 10th EAI International Conference on Body Area Networks</a>
Duty cycle design is an important topic in body area networks. As small sensors are equipped with the limited power source, the extension of network lifetime is generally achieved by reducing the network energy consumption, for instance through duty cycle schemes. However, the duty cycle design is a highly complex NP-hard problem and its computational complexity is too high with exhaustive search algorithm for practical implementation. In order to extend the network lifetime, we proposed a<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4108/eai.28-9-2015.2261427">doi:10.4108/eai.28-9-2015.2261427</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/bodynets/ZhouDLFL15.html">dblp:conf/bodynets/ZhouDLFL15</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c5m5kwqqh5autpdv2w34t5rmoe">fatcat:c5m5kwqqh5autpdv2w34t5rmoe</a> </span>
more »... quantum immune clonal evolutionary algorithm (QICEA) for duty cycle design while maintaining full coverage in the monitoring area. The QICEA is tested, and a performance comparison is made with simulated annealing (SA) and genetic algorithm (GA). Simulation results show that compared to the SA and the GA, the proposed QICEA can extending the lifetime of body area networks and enhancing the energy efficiency effectively.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180415172807/http://eudl.eu/pdf/10.4108/eai.28-9-2015.2261427" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/15/0d/150d67ffc7acc56e569bfa673f7ab819d3dfda3e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4108/eai.28-9-2015.2261427"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>