رئوس مطالب

  • چکیده
  • کلیدواژه ها
  • 1. مقدمه
  • 1.1 نیاز به برنامه زمان بندی بهره ور انرژی
  • 1.2 مزایای زمان بندی
  • 1.3 مسائل زمان بندی
  • 1.4 شناسایی مشکل
  • 2. مروری اجمالی بر مقالات
  • 3. شناسایی مشکل و راه حل پیشنهادی
  • 3.1 بررسی اجمالی
  • 3.2 انتخاب سر خوشه
  • 3.3 زمان بندی خواب / بیدار
  • 3.4 الگوریتم
  • 4. نتایج شبیه سازی
  • 4.1. معیارهای عملکرد
  • 4.2. نتایج
  • 5. نتیجه گیری

Abstract

Wireless sensor network (WSN) is an emerging technology in the today’s world. The WSN has been a prominent technology in many fields so it is very important to decrease the energy consumption by the network and increase the network’s life. To achieve this, cluster based Sleep/Wake scheduling technique is proposed. In this approach, some nodes are considered as initiator nodes through which the cluster heads are decided. In each cluster, the cluster head selects a node with the highest energy and keep it in active mode and sends the remaining nodes into the sleep mode. Then again the initiator nodes collect the residual energies details of these clusters and compare with the standard threshold value. If the cluster energy is less than the threshold value then that particular cluster will be sent into the sleep mode. At the last, the transmission will be done by the active clusters to the sink node. Through this way it is possible to decrease the energy consumption of the network and increase the network’s life time. By simulation results, it is proved that the proposed technique reduces the energy consumption and increases the packet delivery ratio.

Keywords: - - -

Conclusions

In this paper, a cluster based Sleep/Wake scheduling technique is proposed. Initially, initiator nodes are considered for selecting the cluster head. The cluster head selects a node with the highest energy and keep it in active mode and sends the remaining nodes into the sleep mode. Then again the initiator nodes collect the residual energies details of these clusters and compare with the standard threshold value. If the cluster energy is less than the threshold value then that particular cluster will be sent into the sleep mode. By simulation results, it is proved that the proposed technique reduces the energy consumption and increases the packet delivery ratio.

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