Modified DEEC: A varying power level based clustering technique for WSNs
Modified DEEC: A varying power level based clustering technique for WSNs
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DOI：
10.1109/iccacs.2015.7361344
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Twinkle Tiwari;N. Roy
中科院分区：
文献类型：
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作者：
Twinkle Tiwari;N. Roy
无线传感器网络（WSN）由大量小型电池供电的传感器节点组成，具有感知部署环境中数据的能力。有限的能量是无线传感器网络的首要问题，因为能源是有限的。传感器节点用于周期性地感测环境，在将感测到的数据发送到其簇头（CH）之前进行有限的处理，并且周期性地参与簇头选择过程。在感知域中，一些成员节点距离CH非常远，这意味着它们在传输感知数据时需要比其他成员节点更多的能量。长距离传输和作为CH的责任通过减少网络寿命而导致更远节点的过早死亡。本文提出了一种能量有效的分簇方案，其中节点不发送在全范围内，而是有离散的功率电平的传输。因此，发送节点最小化在感兴趣区域之外的传输中的能量浪费，并且避免被大多数节点偷听。簇内通信以较低的功率水平执行，并且仅允许具有高于阈值水平的剩余能量的那些簇头竞争簇头选择。我们使用DEEC协议（分布式节能聚类算法）实现了这一点，并将新的实现称为修改的DEEC。所提出的技术成功地节省了能量，并将网络的寿命与DEEC相比缩短了12.5%。传输到基站的分组数量也大幅增加，增加了193%。
Wireless sensor network (WSN) consists of large numbers of small battery powered sensing device called sensor node, having the ability to sense the data from environment of deployment. Limited energy is of prime concern for the WSNs, as source of energy is finite. Sensor nodes are used to periodically sense the environment, do limited processing before transmitting the sensed data to their cluster heads (CH) and periodically participate in the cluster head selection process. In the sensing field some member nodes are very far away from the CHs, which mean that they need more energy than the other member nodes in transmitting the sensed data. Long distance transmission and responsibility as a CH leads to early death of farther nodes there by reducing the network life. This paper presents energy efficient clustering scheme, where nodes do not transmit in full range instead have discrete power levels for transmissions. Thus transmitting nodes minimize energy wastage in transmission beyond the region of interest and avoid overhearing by most of the nodes. Intra-cluster communications are performed at lower power level and only those cluster heads are allowed to compete for cluster head selection, which have residual energy above a threshold level. We implemented this using DEEC protocol (Distributed Energy Efficient Clustering Algorithm) and called the new implementation as Modified DEEC. The proposed technique successfully conserves energy and prolongs the life time of the network in comparison to DEEC by 12.5%. There is also a substantial increase in the number of packets being transferred to base station, by a factor of 193%.