ACO Based Optimizing Power Consumption ACO OPC Protocol for WSN

Energy efficiency in networks of sensors is a major and challenging subject. Consequently, a number of protocols have been created, all aimed at improving network energy efficiency. When data packets are directed, most of the energy is consumed. In this paper, we have routed data streams among sensor motes using the swarm cognition based ant colony optimization ACO algorithm. Depending on the number and placement of sensor motes, a small number of them may also enter sleep mode, extending the networks lifespan and conserving resources. Reducing the energy consumption of a sensor network while routing can extend its lifespan. An ideal route for data delivery to the destination node is provided by the ant colony optimization approach. By choosing the quickest route to the sink, routing can use less energy. In addition to optimization, sleep scheduling among sensor nodes is crucial for obtaining long lifetime and effective energy conservation. Certain nodes may occasionally turn off their radios if there is a high node density in the vicinity. Many nodes in a network with high node density waste energy overhearing or idle listening. In order to maintain network power, we have employed a threshold energy based sleep awake scheduling and ant colony optimization method named ACO based Optimizing Power Consumption ACO OPC to preserve the power in the network. Pooja Kamboj | Meenakshi Arora "ACO Based Optimizing Power Consumption (ACO-OPC) Protocol for WSN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-3 , June 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64889.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-network/64889/aco-based-optimizing-power-consumption-acoopc-protocol-for-wsn/pooja-kamboj