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حرية الوصول المقاله
1 - Lifetime Improvement Using Cluster Head Selection and Base Station Localization in Wireless Sensor Networks
maryam najimi Sajjad NankhoshkiThe limited energy supply of wireless sensor networks poses a great challenge for the deployment of wireless sensor nodes. In this paper, a sensor network of nodes with wireless transceiver capabilities and limited energy is considered. Clustering is one of the most eff أکثرThe limited energy supply of wireless sensor networks poses a great challenge for the deployment of wireless sensor nodes. In this paper, a sensor network of nodes with wireless transceiver capabilities and limited energy is considered. Clustering is one of the most efficient techniques to save more energy in these networks. Therefore, the proper selection of the cluster heads plays important role to save the energy of sensor nodes for data transmission in the network. In this paper, we propose an energy efficient data transmission by determining the proper cluster heads in wireless sensor networks. We also obtain the optimal location of the base station according to the cluster heads to prolong the network lifetime. An efficient method is considered based on particle swarm algorithm (PSO) which is a nature inspired swarm intelligence based algorithm, modelled after observing the choreography of a flock of birds, to solve a sensor network optimization problem. In the proposed energy- efficient algorithm, cluster heads distance from the base station and their residual energy of the sensors nodes are important parameters for cluster head selection and base station localization. The simulation results show that our proposed algorithm improves the network lifetime and also more alive sensors are remained in the wireless network compared to the baseline algorithms in different situations. تفاصيل المقالة -
حرية الوصول المقاله
2 - Energy Efficient Clustering Algorithm for Wireless Sensor Networks
Maryam Bavaghar Amin Mohajer Sarah Taghavi MotlaghIn Wireless Sensor Networks (WSNs), sensor nodes are usually deployed with limited energy reserves in remote environments for a long period of time with less or no human intervention. It makes energy efficiency as a challenging issue both for the design and deployment o أکثرIn Wireless Sensor Networks (WSNs), sensor nodes are usually deployed with limited energy reserves in remote environments for a long period of time with less or no human intervention. It makes energy efficiency as a challenging issue both for the design and deployment of sensor networks. This paper presents a novel approach named Energy Efficient Clustering Algorithm (EECA) for Wireless Sensor Networks which is based on two phases clustering model and provides maximum network coverage in an energy efficient way. In this framework, an effective resource-aware load balancing approach applied for autonomous methods of configuring the parameters in accordance with the signaling patterns in which approximately the same bit rate data is provided for each sensor. This resource-efficient clustering model can also form energy balanced clusters which results in increasing network life time and ensuring better network coverage. Simulation results prove that EECA is better than LEACH, LEA2C and EECS with respect to network lifetime and at the same time achieving more network coverage. In addition to obtained an optimal cluster size with minimum energy loss, the proposed approach also suggests new and better way for selecting cluster heads to reduce energy consumption of the distributed nodes resulting in increased operational reliability of sensor networks. تفاصيل المقالة -
حرية الوصول المقاله
3 - EBONC: يک روش جديد خوشهبندي آگاه از انرژي، مبتني بر تعداد خوشه بهينه براي شبکه حسگر بيسيم متحرک
نسیم نوروزی هادی طباطبایی ملاذی محمود فضلعلیمحدوديت انرژي يکي از چالشهاي اساسی در شبکههاي حسگر بيسيم است که طول عمر شبکه را به صورت مستقيم تحت تأثير قرار ميدهد. يک راه حل بهبود کارايي عمومي شبکه و توزيع يکنواخت انرژي در آن، خوشهبندي گرههای شبکه است. انتخاب تعداد خوشهها براي رسيدن به يک گذردهي کارای شبکه کا أکثرمحدوديت انرژي يکي از چالشهاي اساسی در شبکههاي حسگر بيسيم است که طول عمر شبکه را به صورت مستقيم تحت تأثير قرار ميدهد. يک راه حل بهبود کارايي عمومي شبکه و توزيع يکنواخت انرژي در آن، خوشهبندي گرههای شبکه است. انتخاب تعداد خوشهها براي رسيدن به يک گذردهي کارای شبکه کاري بس دشوار است زيرا با افزايش تعداد سرخوشهها، براي رسيدن بسته از مبدأ به مقصد، تعداد پرشهاي زيادي ميبايست صورت گيرد. افزايش تعداد پرشها باعث پردازش بیشتر اطلاعات و افزایش مصرف انرژي ميگردد. اين مقاله، يک روش خوشهبندي را با آگاهي از مكان و انرژي گرهها ارائه مينمايد که سعي در تشكيل خوشههايي با اندازه بهینه و انتخاب سرخوشه بر اساس سطح انرژي گرهها به منظور كاهش مصرف انرژي دارد. روش پيشنهادي محيط شبكه را به دواير متحدالمركزي تقسيم کرده و تعداد خوشه بهينه هر دور را به نحوي که مصرف انرژي شبکه بهبود يابد محاسبه میکند. در همين رأستا از الگوريتم شايعهپراکني به منظور تبادل انرژي بين گرهها استفاده مينمايد. كارايي بهتر اين روش از لحاظ افزايش طول عمر مفيد شبكه در مقايسه با روشهاي پيشين نظير ASH از طريق شبيهسازي بررسی شده است. روش پيشنهادي از نظر طول عمر شبكه در حدود 25% تا 40% روش ASH را بهبود بخشيده است. تفاصيل المقالة