Energy-Efficient Routing Protocol for Node Lifetime Enhancement in Wireless Sensor Networks

Abstract

Wireless sensor networks (WSNs) countenance some deceitful attack which may damage instructions and capacity in an elegant way and with irregular performance to fabricate the premier damage without being exposed. WSNs often consist of tiny devices with limited energy, computational power, transmission range, and memory. Energy is one of the most important resources in such networks. Therefore, optimal use of energy is necessary. In this paper, we present a novel energy-efficient routing protocol for WSNs. The suggested protocol may be hierarchic and group built. Every bunch comprises from claiming one cluster head (CH) node, two agent CH nodes, also a percentage conventional sensor hubs. Those reclustering the long haul Also vitality necessities need been minimized Eventually Tom's perusing presenting the idea from CH board. Recent approaches use selective encryption to minimize energy consumption. WSNs are resource constrained. Moreover, exchange ways need aid utilized to information transmission the middle of An CH hub and the bs. Thorough reproduction effects portray those vitality efficiency, throughput, and prolonged lifetime of the hubs under that impact of the suggested protocol. Future scope from claiming this worth of effort will be delineated.

Optimized Probabilistic Sink Node Deployment for Enhanced Performance in Wireless Sensor Networks

“…In literature various works have been proposed to enhance the performance and lifetime of the Wireless Sensor Networks [5]. This enhanced performance is achieved using mobility-based mechanisms, which allow the dynamically adjust the sink node's position and referred to as mobile sink sojourn locations.…”

“…Our mechanism is different from existing mechanisms, which deploy sink nodes based on the residual status of buffer and energy of the sensor nodes. Instead, proposed mechanism's sink node deployment is decided based on the optimal probabilistic metrics related to buffer and energy status during data processing; aim to extend the network performance with respect to risk of buffer overflow and energy consumption [24].…”