| With the era of Internet of Things, the development and applications of wireless sensor networks will trigger a new wave of information technology. Event-driven wireless sensor networks are used in monitoring emergency events. With the characters of strong real-time and high sensitivity, it can quickly respond to the events. Because of the longer lifetime of the network, it can monitor the target area for a long time. As a result, it has broad application prospects in many areas.LEACH, TEEN and other traditional protocols did not take the location and severity of incidents into account, and also caused a waste of energy outside the region of events. According to the character of event-driven WSNs and the need for saving energy, a new event-driven clustering aggregation algorithm based on dynamic cluster range is proposed.The algorithm selects cluster head according to the residual energy and excited intensity of each node which is in the region of events. Being efficiently monitoring the events, it can well balance the energy consumption of each node. The nodes establish multi-level power gradient with each other, use hierarchical transmission power for communication. This can certainly save the energy of nodes by reducing the transmission power. It optimizes the size of cluster according to the clustering result and the average energy consumption of different cluster ranges. Because it forms better dynamic topology and improves the relevance of data collection, it is good for data aggregation of cluster heads. To further reduce the burden of cluster head, the threshold of cluster head energy consumption is used to re-build the new network topology. This can avoid quickly dying of the nodes due to excessive energy consumption and extend the lifetime of the network.In comparison with TEEN, the results of NS2 simulation show that the EDRCA algorithm can considerably reduces the energy consumption and prolong the lifetime of the network for about 20%. |
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