報告簡介:
Recently, adopting mobile energy chargers to replenish the energy supply of sensor nodes in wireless sensor networks has gained increasing attention from the research community. The utilization of the mobile energy chargers provides a more reliable energy supply than the systems that harvested dynamic energy from the surrounding environment. While pioneering works on the mobile recharging problem mainly focus on the optimal offline path planning for the mobile chargers, in this work, we aim to lay the theoretical foundation for the on- demand mobile charging problem, where individual sensor nodes request charging from the mobile charger when their energy runs low. Specifically, in this work we analyze the on-demand mobile charging problem using a simple but efficient Nearest-Job- Next with Preemption (NJNP) discipline for the mobile charger, and provide analytical results on the system throughput and charging latency from the perspectives of the mobile charger and individual sensor nodes, respectively. To demonstrate how the actual system design can benefit from our analytical results, we present an example on determining the optimal remaining energy level for individual sensor nodes to send out their recharging requests. Through extensive simulation with real-world system settings, we verify our analysis matches the simulation results well and the system designs based on our analysis are effective.
報告人簡介:
何亮,博士,2011年畢業南開大學獲博士學位,2009-2011年在加拿大維多利亞大學做訪問學者,現為新加坡科 技設計大學博士後,主要研究方向能量高效的空間物理系統、無線可充電傳感器網絡、傳感器網絡中移動性管理。現擔任IEEE GlobeCom等多個會議的程序委員會成員和多個學術期刊的審稿人。在IEEE Transactions on Computers、Transactions on Embedded Computing Systems、Transactions on Mobile Computing、InfoCom、MASS、GlobeCom和ICC等國際期刊和學術會議上發表論文20餘篇,曾獲GlobeCom'11最佳論文 獎等學術獎勵。