{"title":"Cluster-based energy-aware routing scheme CBEARS for wireless sensor network","authors":"A. Das, R. Chaki, K. Dey","doi":"10.1504/IJSNET.2016.079176","DOIUrl":null,"url":null,"abstract":"The use of sensors to sense a multitude of events forms the basis of the all-pervasive computing concepts of today. The challenge lies in transferring the information sensed over the wireless links with limited bandwidth. The sensors are normally deployed close to each other and hence end up sensing the same event and sending the information. This gives rise to considerable redundancy and energy wastage of individual nodes. Clusterisation is the common technique for reducing the load of the nodes in order to increase the overall lifetime of the network. The selection of cluster head is very important in this regard. This paper uses a multitude of different parameters such as residual energy, distance from sink node, number of neighbour nodes etc., for selecting a cluster head. A multi-level energy-aware routing framework has been proposed here. The simulation result shows that the proposed algorithm increases network lifetime more than the other existing routing protocols.","PeriodicalId":49177,"journal":{"name":"International Journal of Sensor Networks","volume":"43 1","pages":"262-272"},"PeriodicalIF":1.1000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sensor Networks","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1504/IJSNET.2016.079176","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 2
Abstract
The use of sensors to sense a multitude of events forms the basis of the all-pervasive computing concepts of today. The challenge lies in transferring the information sensed over the wireless links with limited bandwidth. The sensors are normally deployed close to each other and hence end up sensing the same event and sending the information. This gives rise to considerable redundancy and energy wastage of individual nodes. Clusterisation is the common technique for reducing the load of the nodes in order to increase the overall lifetime of the network. The selection of cluster head is very important in this regard. This paper uses a multitude of different parameters such as residual energy, distance from sink node, number of neighbour nodes etc., for selecting a cluster head. A multi-level energy-aware routing framework has been proposed here. The simulation result shows that the proposed algorithm increases network lifetime more than the other existing routing protocols.
期刊介绍:
IJSNet proposes and fosters discussion on and dissemination of issues related to research and applications of distributed and wireless/wired sensor and actuator networks. Sensor networks is an interdisciplinary field including many fields such as wireless networks and communications, protocols, distributed algorithms, signal processing, embedded systems, and information management.
Topics covered include:
-Energy efficiency, energy efficient protocols-
Applications-
Location techniques, routing, medium access control-
Coverage, connectivity, longevity, scheduling, synchronisation-
Network resource management, network protocols, lightweight protocols-
Fault tolerance/diagnostics-
Foundations-
Data storage, query processing, system architectures, operating systems-
In-network processing and aggregation-
Learning of models from data-
Mobility-
Performance analysis-
Sensor tasking and control-
Security, privacy, data integrity-
Modelling of systems/physical environments, simulation tools/environments.