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Baranidharan, B.
- EECDC: Energy Efficient Coverage Aware Data Collection in Wireless Sensor Networks
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Authors
Affiliations
1 SASTRA University, Department of Computer Science Engineering, IN
1 SASTRA University, Department of Computer Science Engineering, IN
Source
Indian Journal of Science and Technology, Vol 6, No 7 (2013), Pagination: 4903-4907Abstract
Energy efficient head node selection is the major issue in wireless sensor networks. Due to irregular node distribution energy consumption is not a balanced one in cluster-based wireless sensor networks. The proposed system provides techniques to rectify this problem through: (i) Forming Maximal Independent Set (MIS) (ii) Effective Set Head selection (iii) Multi-hop communication. Non adjacency of nodes has been leveraged for creating MIS. Intra-set energy consumption has been reduced by selecting a node as Set Head (SH), which is geographically nearer to all other nodes. Inter Set efficient energy consumption is achieved by using multi-hop communication between SH to BS. The proposed system EECDC forms more efficient and stable sets, which increases the lifetime of sensor networks i.e., Number of data collection rounds.Keywords
Energy Efficient, Maximum Independent Set (MIS), Coverage, Wireless Sensor NetworksFull Text
References
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- Energy Efficient Hierarchical Unequal Clustering in Wireless Sensor Networks
Abstract Views :267 |
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Authors
Affiliations
1 Department of Computer Science Engineering, SASTRA University, IN
2 Advanced Computing, SASTRA University, IN
1 Department of Computer Science Engineering, SASTRA University, IN
2 Advanced Computing, SASTRA University, IN
Source
Indian Journal of Science and Technology, Vol 7, No 3 (2014), Pagination: 301–305Abstract
Energy efficient modeling is a major issue in the wireless sensor network. The main solution for energy efficient routing is by means of clustering. This paper proposes an unequal clustering approach in the networks for even energy distribution. It also reduces the overall energy consumption which in turn improves the network lifetime. The simulation is carried out in MATLABR2010a. The energy needed for entire operations for one round using the proposed method is lesser than that of LEACH, an equal clustering methodology.Keywords
Clustering, Energy Efficient, Unequal ClusteringFull Text
- Energy Efficient Target Coverage in Sensor Networks
Abstract Views :238 |
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Authors
Affiliations
1 SASTRA University, School of Computing, Thanjavur, IN
1 SASTRA University, School of Computing, Thanjavur, IN
Source
Indian Journal of Science and Technology, Vol 7, No S4 (2014), Pagination: 21-23Abstract
Coverage plays a major role in energy consumption model of Wireless Sensor Networks (WSN). Energy efficient coverage of the targets becomes one of the challenging problems in WSN, because of low-energy, low processing of the nodes. In this paper target coverage had been addressed; monitoring the specific target with the set of sensors. In order to have an energy efficient coverage, it is necessary to select the node which detects target within a particular accuracy gain value. In this paper, we first randomly deployed the nodes and select the nodes which are eligible to cover the target with desired information gain value. Energy conservation is achieved through activating only the eligible nodes.Keywords
Coverage, Energy Efficiency, Lifetime, Sensor Placement, Target CoverageFull Text
- Attribute Based Spanning Tree Construction for Data Aggregation in Heterogeneous Wireless Sensor Networks
Abstract Views :196 |
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Authors
Affiliations
1 School of Computing, SASTRA University, Thanjavur, Tamil Nadu- 613401, IN
1 School of Computing, SASTRA University, Thanjavur, Tamil Nadu- 613401, IN
Source
Indian Journal of Science and Technology, Vol 7, No S5 (2014), Pagination: 76-79Abstract
Wireless sensor network consists of densely deployed sensor nodes which have limited resources like energy, node lifetime. Data aggregation is an effective scheme to reduce redundancy of sampled data generated by sensor nodes. Homogeneous sensor networks easily adapt the data aggregation scheme because of easy synchronization of data samples; but heterogeneous sensor network have difficulty to handle data aggregation due to synchronization of different data packets produced by different sensor nodes. In order to perform efficient data aggregation in heterogeneous sensor networks our proposed method Attribute based Spanning Tree (AST) introduced the method of attribute based spanning tree construction over heterogeneous networks. Based on the characteristics of sensor nodes, logical separation of nodes formed then each group constructs Minimum Spanning Tree (MST), aggregation follows this MST to reach sink node. By adapting Kruskal's algorithm into our proposed method MST is constructed in sensor nodes. Our simulation results shows that AST is more spatially convergent and it uses shortest path cost for aggregation leads to increase node lifetime and saves energy.Keywords
Data Aggregation, Heterogeneous Sensor Networks, Spanning TreeFull Text