Increasing the lifetime of the network is one of the key research issues in Wireless Sensor Networks. Sensor nodes residing in hot spot locations get drained out of energy very quickly, which leads to disruption in operations of the network. Thus, a cluster-based algorithm for increasing energy efficiency is required to extend the lifetime of the network. In this research work, Cross-layer Energy based Clustering (CEC) technique is proposed to form clusters of sensor nodes in hexagonal shape. The cluster head has opted from the members of cluster itself on the basis of the ideal cluster head distance and the remaining energy of sensor nodes. In order to make a balance between the consumption of energy and the network traffic, the rotation of cluster heads is performed dynamically. The energy level of a node also gets affected due to collisions happening during the transmissions. These collisions can be prevented by applying protocols which are free of contention. In addition to this, slots are allocated by cluster head to all member nodes within a cluster on the basis of their remaining energy so that nodes can switch to sleep mode. Further, to reduce the consumption of energy, data aggregation is also used on the basis of the remaining energy of the cluster head. The performance of proposed CEC technique is evaluated and compared with existing techniques such as SOEECP, LCM and EEPCA. Experimental results show that CEC performs better than existing techniques in measures of the lifetime of the network, consumption of energy, the number of data packets received and accuracy of aggregated data along with the statistical analysis.

延长网络寿命是无线传感器网络中的关键研究问题之一。驻留在热点位置的传感器节点会很快耗尽能量，这会导致网络运行中断。因此，需要用于提高能量效率的基于簇的算法来延长网络的寿命。在这项研究工作中，提出了基于跨层能量的聚类（CEC）技术来形成六边形形状的传感器节点簇。基于理想的簇头距离和传感器节点的剩余能量，簇头选择退出簇本身的成员。为了在能源消耗和网络流量之间取得平衡，群集头的旋转是动态执行的。节点的能级也会由于传输过程中发生的冲突而受到影响。这些冲突可以通过应用无争用的协议来防止。除此之外，集群头根据插槽的剩余能量将时隙分配给集群中的所有成员节点，以便节点可以切换到睡眠模式。此外，为了减少能量消耗，还基于簇头的剩余能量来使用数据聚合。对所提出的CEC技术的性能进行了评估，并与SOEECP，LCM和EEPCA等现有技术进行了比较。实验结果表明，CEC在网络寿命，能源消耗，