Janani E Srie Vidhya, Kumar P Ganesh
Department of Computer Science and Engineering, Anna University Regional Office Madurai, Madurai 625 007, India.
Department of Information Technology, K.L.N. College of Engineering, Pottapalayam 630 611, India.
ScientificWorldJournal. 2015;2015:185198. doi: 10.1155/2015/185198. Epub 2015 Oct 1.
The energy utilization of sensor nodes in large scale wireless sensor network points out the crucial need for scalable and energy efficient clustering protocols. Since sensor nodes usually operate on batteries, the maximum utility of network is greatly dependent on ideal usage of energy leftover in these sensor nodes. In this paper, we propose an Energy Efficient Cluster Based Scheduling Scheme for wireless sensor networks that balances the sensor network lifetime and energy efficiency. In the first phase of our proposed scheme, cluster topology is discovered and cluster head is chosen based on remaining energy level. The cluster head monitors the network energy threshold value to identify the energy drain rate of all its cluster members. In the second phase, scheduling algorithm is presented to allocate time slots to cluster member data packets. Here congestion occurrence is totally avoided. In the third phase, energy consumption model is proposed to maintain maximum residual energy level across the network. Moreover, we also propose a new packet format which is given to all cluster member nodes. The simulation results prove that the proposed scheme greatly contributes to maximum network lifetime, high energy, reduced overhead, and maximum delivery ratio.
大规模无线传感器网络中传感器节点的能量利用指出了对可扩展且节能的聚类协议的迫切需求。由于传感器节点通常依靠电池运行,网络的最大效用在很大程度上取决于这些传感器节点中剩余能量的理想使用情况。在本文中,我们提出了一种用于无线传感器网络的基于能量高效聚类的调度方案,该方案平衡了传感器网络的寿命和能量效率。在我们提出的方案的第一阶段,发现聚类拓扑并根据剩余能量水平选择簇头。簇头监控网络能量阈值以识别其所有簇成员的能量消耗率。在第二阶段,提出调度算法以将时隙分配给簇成员数据包。在此完全避免了拥塞的发生。在第三阶段,提出能量消耗模型以维持整个网络的最大剩余能量水平。此外,我们还提出了一种新的数据包格式,并将其分发给所有簇成员节点。仿真结果证明,所提出的方案对最大网络寿命、高能量、减少开销和最大交付率有很大贡献。