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Admissions Open
Abstract:
The performance of sensor nodes can be optimized using the cluster techniques. Clustering can reduce travel time by decreasing the number of transmissions and receptions at each sensor node. Clustering of sensors in unlike groups make the sensors of one cluster transmit the information to an other cluster and that cluster will end out the original in formation to the processing center, this flow of information can save a lot of energy in the system. Sensor nodes’ clustering represents an effectual and proficient way of meeting all the network needs, for example network life time, energy saving etc. It has been observed that our technique can be incorporate both with static as well as dynamic clustering technique. In deploying static clustering complexity can be reduced but there is issue of energy consumption where as with dynamic clustering, the problem can be eliminated but complexity (Clustering over heads) may increase in the network. Thus, special attention need store address these facts. In this paper, some flaws has been observed such as proper handling of clustering technique both in static and dynamic clustering. In both the techniques an improved hybrid clustering technique has been proposed which is a combination of static and dynamic clustering to form hybrid process that will save the energy as well as network lifetime.