Abstract
Wireless Sensor Networks (WSNs) have revolutionized the era of conventional computing into a digitized world, commonly known as “The Internet of Things”. WSN consists of tiny low-cost sensing devices, having computation, communication and sensing capabilities. These networks are always debatable for their limited resources and the most arguable and critical issue in WSNs is energy efficiency. Sensors utilize energy in broadcasting, routing, clustering, on-board calculations, localization, and maintenance, etc. However, primary domains of energy consumption at node level are three i.e. sensing by sensing-module, processing by microprocessor and communication by radio link. Extensive sensing, over-costs processing and frequent communication not only minimize the network life-time, but also affects the availability of these resources for other tasks. To increase life-time and provide an energy-efficient WSN, here we have proposed a new scheme called “A Content-based Adaptive and Dynamic Scheduling (CADS) using two ways communication model in WSNs”. CADS dynamically changes a node states during data aggregation and each node adapts a new state based on contents of the sensed data packets. Analyzer module at the Base-Station investigates contents of sensed data packets and regulates functions of a node by transmitting control messages in a backward direction. CADS minimizes energy consumption by reducing unnecessary network traffic and avoid redundant message-forwarding. Simulation results have been shown that it increases energy-efficiency in terms of network life-time by 9.65% in 100 nodes-network, 11.36% in 150 nodes-network and 0.94% in 300 nodes. The proposed scheme is also showing stability in terms of increasing cluster life by 87.5% for a network of 100 nodes, 94.73% for 150 nodes and 53.9% in 300 nodes.
Highlights
Wireless Sensor Network (WSN) is a group of resource constraint minute sensors, distributed over an area for monitoring physical or environmental phenomenon
In moderate network (TSN−Work = 150 Nodes) with 50% more nodes, Content-based Adaptive and Dynamic Scheduling (CADS) lasts in 698 rounds SPN which is better than HACH, Underwater Acoustic Sensor Network (UASNs), BSSR and efficient sleep scheduling mechanism with similarity measure (ESSM)
From the overall management perspective, for better power management, in this paper we have proposed a novel scheme ‘‘Content-based Adaptive and Dynamic Scheduling (CADS) using two ways communication model in WSNs’’
Summary
Wireless Sensor Network (WSN) is a group of resource constraint minute sensors, distributed over an area for monitoring physical or environmental phenomenon These sensors have limited processing capabilities in terms of computation, The associate editor coordinating the review of this manuscript and approving it for publication was Chan Hwang See. memory and communication. Sensor nodes in WSNs work in continuous sensing and processing manner. It performs data aggregation and data forwarding of the sensed data, which reduces energy level of nodes and effect network life-time. To minimize energy consumption and prolong the network life-time, numerous schemes have been proposed. Over-cost processing and frequent communication in the network drains energy level of a node and affects other resources (processing, bandwidth, buffer) at a great extent. The rest of the paper is organized as: Section-II presents a brief literature review, Section-III explains the proposed scheme with details, Section-IV is simulation details for CADS, Section-V is the comparison with existing schemes, and Section-VI concludes the article and provides future directions for further enhancing the work
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