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Energy efficient local search based target localization in an UWSN

机译:UWSN中基于节能本地搜索的目标定位

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Locating a moving target for an Underwater Wireless Sensor Network (UWSN) is a challenging task since traditional radio link based tracking methods can not be directly applied to the under water network. Underwater sensors use acoustic links for communication. Besides under the water, network architecture is also different from the traditional terrestrial WSN architecture. Replacement difficulty of underwater sensors in case of power failure adds more challenges. Therefore, a target localization protocol in UWSNs should have energy saving strategy. In our paper, we incorporate local search based energy saving tracking method for an UWSN. To handle the challenges, we present a meta-heuristic based algorithm by keeping the minimum number of sensors active which ultimately increases the network lifetime. We validate our method by experimental results and find that our algorithm can detect a moving target with less energy consumption. We measure the performance of our method by comparing the target trajectory with the true trajectory. We also compare the energy consumption with that of another frequently used method for this type of network. We find that our method works better.
机译:为水下无线传感器网络(UWSN)定位移动目标是一项具有挑战性的任务,因为传统的基于无线电链路的跟踪方法无法直接应用于水下网络。水下传感器使用声音链接进行通信。除了在水下,网络架构还不同于传统的地面WSN架构。在停电的情况下水下传感器的更换难度增加了更多的挑战。因此,UWSN中的目标定位协议应具有节能策略。在我们的论文中,我们结合了基于本地搜索的UWSN节能跟踪方法。为了应对这些挑战,我们通过保持最少数量的传感器处于活动状态,提出了一种基于元启发式的算法,这最终增加了网络寿命。我们通过实验结果验证了我们的方法,发现我们的算法可以以更少的能量消耗来检测运动目标。我们通过将目标轨迹与真实轨迹进行比较来衡量我们方法的性能。我们还将能耗与这种网络的另一种常用方法的能耗进行比较。我们发现我们的方法效果更好。

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