Abstract
Recently, researchers and practitioners in wireless sensor networks (WSNs) are focusing on energy-oriented communication and computing considering next-generation smaller and tiny wireless devices. The tiny sensor-enabled devices will be used for the purpose of sensing, computing, and wireless communication. The hundreds/thousands of WSNs sensors are used to monitor specific activities and report events via wireless communication. The tiny sensor-enabled devices are powered by smaller batteries to work independently in distributed environments resulting in limited maximum lifetime of the network constituted by these devices. Considering the non-uniform distribution of sensor-enabled devices in the next-generation mobility centric WSNs environments, energy consumption is imbalanced among the different sensors in the overall network environments. Toward this end, in this paper, a cluster-oriented routing protocol termed as prediction-oriented distributed clustering (PODC) mechanism is proposed for WSNs focusing on non-uniform sensor distribution in the network. A network model is presented, while categorizing PODC mechanism in two activities including setting cluster of nodes and the activity in the steady state. Further cluster set up activity is described while categorizing in four subcategories. The proposed protocol is compared with individual sensor energy awareness and distributed networking mode of clustering (EADC) and scheduled sensor activity-based individual sensor energy awareness and distributed networking mode of clustering (SA-ADC). The metrics including the overall lifetime of the network and nodes individual energy consumption in realistic next-generation WSNs environments are considered in the experimental evaluation. The results attest the reduced energy consumption centric benefits of the proposed framework PODC as compared to the literature. Therefore, the framework will be more applicable for the smart product development in the next-generation WSNs environments.
Highlights
The next-generation wireless sensor networks (WSNs) environment will be powered by a large number of tiny sensor-enabled devices that are designed to operate in the fields like smart building initiatives, automated location monitoring, indoor localizations, selfsustaining environment assessment and evaluation, smart home environment monitoring, intelligent systems for healthcare, future accurate forecasting of weather, fighting and controlling in battlefield, and intelligent operation of range of transport systems [1]
3.2 prediction-oriented distributed clustering (PODC) we describe the details of suggested protocol, PODC
Mathematical models are derived for scientific understanding of consumption of energy by sensors and the lifetime of overall wireless sensor network
Summary
The next-generation wireless sensor networks (WSNs) environment will be powered by a large number of tiny sensor-enabled devices that are designed to operate in the fields like smart building initiatives, automated location monitoring, indoor localizations, selfsustaining environment assessment and evaluation, smart home environment monitoring, intelligent systems for healthcare, future accurate forecasting of weather, fighting and controlling in battlefield, and intelligent operation of range of transport systems [1]. The head of the cluster in the group liaises with only the base station (BS) node using a uniform time slot assignment scheme for same next-generation WSNs environment [11]. The proposed protocol framework is assessed to comparatively evaluate the experimental performance with the state-of-the-art techniques such as energy awareness and distributed networking mode of clustering (EADC) and scheduled sensor activity-based individual sensor energy awareness and distributed networking mode of clustering (SA-EADC) considering the green computing-related metrics including the overall lifetime of the sensor network and individual energy consumption in sensor enabled devices in the next-generation WSNs environment. The proposed routing tree algorithm and clustering head election mechanism for communication between clusters considering prediction of local energy consumption ratio of the sensor nodes, shows an improvement in the lifespan of the network and energy requirement of the sensors. These recent works majorly focuses on green computing and communication in wireless network environment which is the main theme of this research in the paper
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: EURASIP Journal on Wireless Communications and Networking
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
