Data location integration with stable routing: Stable and optimal data transmission in wireless sensor networks

Abstract

While transmitting data over wireless sensor networks (WSN), energy conservation and stable routing are two major problems while transmitting data over the Internet. The main problem with data transmission is that it consumes high energy consumption and network overheads. Therefore, an effective routing protocol should ensure transmission stability in the dynamic sensor environment. Data location integration with stable routing (DLI‐SR) has been introduced to achieve this goal. The DLI‐SR approach first determines the cluster head according to the node location in which node energy consumption, node degree, and distance have been considered. Then the cluster members are selected, and information is transmitted to the sink node by ensuring the data transmission stability. Network stability is determined with the help of link quality, the number of hops, and residual energy. These characteristics are used to maintain the network's stability and minimize its high energy consumption. Here, the stable centrality concept is introduced for choosing the first stable nodes, and the stable path is selected from the source node. The hot spot is maintained to reduce the high energy consumption due to the stable nodes' changing. The effective utilization of node and network characteristics helps to improve the overall network performance. This system is implemented via the NS‐2 simulation tool, and its excellence is compared with existing methods.

A Cluster-Based Energy-Efficient Secure Optimal Path-Routing Protocol for Wireless Body-Area Sensor Networks

“…To evaluate the performance of EEDLABA, an energy-consumption model and path loss are proposed, with nine sensor nodes deployed on a human body [ 8 ]. There are many research studies on routing protocols for WSN with energy efficiency, security, and cluster-based routing [ 9 , 10 , 11 , 12 , 13 , 14 ]. In this direction, the authors in Ref.…”