Abstract

AbstractIn wireless sensor networks (WSNs), the protocols for routing have a great effect in performance of network as network’s lifetime, good energy organization, etc. These protocols are developed based on the different schemes like clustering, chaining and cost based. The WSN contains a large number of nodes which are sometimes difficult to manage. So, the best way is to make a cluster by combining various nodes, and this technique is known as clustering. By doing so, the energy exhaustion by nodes can be restricted. A node is nominated as cluster head (CH) to handle the communication amongst nodes and managing of nodes in the cluster. An ACO-based probability rule is used for choosing the CH amid the cluster nodes. The data are sent from cluster nodes to the CH; then, it further sends the relevant details to the base station (BS). ACO-DEEC: ant colony optimization-based distributed energy efficient clustering protocol is used for probability rule calculation for CH selection depending on the metrics, i.e. efficiency of the nodes and distance amongst nodes. The algorithm proposed enhances the parameters like energy consumption by cluster nodes, finding dead nodes in cluster and quantity of packets sent to the BS as compared with existing DEEC protocol.KeywordsACO-DEECAnt Colony optimizationCluster headDEEC protocolWireless sensor network

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