An Efficient Model-Based Clustering via Joint Multiple Sink Placement for WSNs

Wireless sensor networks consist of many restrictive nodes with limited abilities, including power, low bandwidth and battery, small storage space, computational capacity. Sensor produce massive amounts data that are then collected transferred to the sink via single or multihop pathways. Since nodes’ abilities limited, ineffective transmission across makes network unstable due rising delay high consumption energy. Furthermore, location sensor-to-sink routing significantly impact performance. Although there suggested solutions for this challenge, they suffer from low-lifetime networks, energy consumption, delay. Based on these constrained capacities, clustering is a promising technique reducing use wireless thus improving their This paper models problem multiple deployment using extend lifetime networks. The proposed model determines placements most effective way transmit sink. First, we propose an improved ant algorithm group nodes, select cluster head based chance picking factor. Second, assign sinks designated as collectors. Third, provide optimal paths relay by maximizing network’s flow. results simulation real dataset demonstrate our proposal outperforms existing state-of-the-art approaches in terms lifetime, delay, scalability.