Energy preservation and network critic based channel scheduling (EPNCS) in cognitive radio sensor networks
- PDF / 1,128,666 Bytes
- 13 Pages / 595.276 x 790.866 pts Page_size
- 37 Downloads / 218 Views
ORIGINAL RESEARCH
Energy preservation and network critic based channel scheduling (EPNCS) in cognitive radio sensor networks Veeranna Gatate1
•
Jayashree Agarkhed1
Received: 15 October 2019 / Accepted: 26 September 2020 Bharati Vidyapeeth’s Institute of Computer Applications and Management 2020
Abstract Cognitive Radio Sensor Network (CRSN) is a distributed network of Cognitive Radio (CR) enabled wireless sensor nodes where there is no guarantee of the availability of vacant channels for data transfer. In CRSN nodes spend energy in radio spectrum sensing to sense the availability of vacant channels and hence energy preservation becomes a major concern. In this proposed work, a novel algorithm—energy preservation and network critics based channel scheduling (EPNCS) algorithm in CRSNs is designed which regulates the slot time for sensor nodes. Depending on environmental data traffic, the sleep time of sensor nodes is varied which reduces power consumption. Scalable dynamic slots are computed for each sensor node based on the average buffer occupancy which leads to optimal channel utilization. Simulation results show that EPNCS improves the network lifetime and throughput of CRSN significantly in comparison with existing protocols. Keywords Cognitive sensor Power management MAC layer Channel assignment Slot allocation
& Veeranna Gatate [email protected] Jayashree Agarkhed [email protected] 1
Computer Science and Engineering Department, Poojya Doddappa Appa College of Engineering, Kalaburagi, Karnataka, India
1 Introduction Wireless sensor networks (WSNs) is a collection of wireless sensor nodes possessing limited computational power and storage ability. WSNs are often deployed in an unattended environment where physical presence is practically difficult, such as forest to detect forest fire, in agriculture farm to monitor sunlight intensity and soil pH value and temperature, in disaster relief operations such as to detect earthquakes and floods. These time-critical applications demand high network performance and hence sensor nodes must possess self-adapting and self-organizing features to their surrounding environment. WSN applications are implemented using static radio spectrum allocation policy in Industrial, Scientific, and Medical (ISM) band occupied by licensed users or Primary Users (PUs) [1]. The ISM band is now overcrowded due to various emerging communication technologies due to which the unlicensed users called Secondary Users (SUs) get limited opportunities to access the radio spectrum. PUs has higher priority in accessing the spectrum than a SU so if a SU is already occupied with a channel and PU wants to regain its access then SU has to switch over to another vacant channel or lower its transmission parameters [2]. According to FCC reports the licensed spectrum lacks efficient utilization as spectrum chunks called white spaces are left vacant which opens a wide range of research opportunities for efficient spectrum access satisfying the end-user requirements [3]. CR technology has
Data Loading...
