Proceedings ArticleDOI
Minimization of average energy consumption to prolong lifetime of Wireless Sensor Network
Abhishek Chunawale,Sumedha Sirsikar +1 more
- pp 244-248
TLDR
A new way of clustering for CH selection and cluster formation in WSNs is proposed; in which sensor network is divided into zones as per geographic locations of nodes, and clusters are formed within the zones by taking into account the residual energy of nodes and node distance.Abstract:
Wireless Sensor Network (WSN) is a network of sensor nodes that can sense the environment and send the information through wireless links to a sink. Wireless sensor nodes possess limited processing capability, storage and energy resources. The existence of sensor network depends on the life of sensor nodes i.e. ultimately on the energy consumption during its operation. Thus, in WSN, the efficient use of energy resources is very much necessary. Clustering is one of the approaches for energy saving in WSN. A cluster is a group of sensor nodes with one central entity named Cluster Head (CH). In this article, a new way of clustering for CH selection and cluster formation in WSNs is proposed; in which sensor network is divided into zones as per geographic locations of nodes. Clusters are formed within the zones by taking into account the residual energy of nodes and node distance. All cluster members send the sensed data to their respective CH. Hence, CH consumes more energy as it processes the collected data before forwarding it to Base Station (BS). Dropping of cluster head's residual energy below threshold value initiates cluster reformation. Performance analysis and simulation results are given with variations in number of nodes and transmission range. The obtained results show good performance of our algorithm in terms of reduced energy consumption, increased network lifetime and scalability of the network.read more
Citations
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Book ChapterDOI
H-LEACH: Modified and Efficient LEACH Protocol for Hybrid Clustering Scenario in Wireless Sensor Networks
TL;DR: A hybrid approach (H-LEACH) in which the clusters are fixed, but the cluster heads are chosen dynamically is presented, which shows an improved performance that is duly supported by the simulation results using MATLAB.
Journal ArticleDOI
Energy-Efficient Node Deployment in Heterogeneous Two-Tier Wireless Sensor Networks With Limited Communication Range
TL;DR: In this article, a two-tier wireless sensor network is modeled as an optimization problem with the total power consumption of the network as its cost function, and the necessary conditions of the optimal AP and FC node deployment are explored.
Journal ArticleDOI
Energy-Efficient Node Deployment in Heterogeneous Two-Tier Wireless Sensor Networks with Limited Communication Range
TL;DR: Simulation results show that the proposed algorithms outperform the existing clustering methods like Minimum Energy Routing, Agglomerative Clustering, Divisive Clustered, Particle Swarm Optimization, Relay Node placement in Double-tiered Wireless Sensor Networks, and Improved Relay node Placement, on average.
Proceedings ArticleDOI
Using Quantization to Deploy Heterogeneous Nodes in Two-Tier Wireless Sensor Networks
TL;DR: In this article, a two-tier wireless sensor network is modeled as a quantization problem with distortion defined as the total power consumption of the network, and the necessary conditions of the optimal AP and FC node deployment are explored.
Journal ArticleDOI
An Event-Aware Cluster-Head Rotation Algorithm for Extending Lifetime of Wireless Sensor Network with Smart Nodes
TL;DR: The lifetime of the sensor network is extended when using the proposed method in comparison with state-of-the-art cluster-head rotation algorithms.
References
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Proceedings ArticleDOI
EECS: an energy efficient clustering scheme in wireless sensor networks
TL;DR: This paper proposes a novel clustering schema EECS for wireless sensor networks, which better suits the periodical data gathering applications and elects cluster heads with more residual energy through local radio communication while achieving well cluster head distribution.
Energy Efficient Clustering Algorithms in Wireless Sensor Networks: A Survey
TL;DR: This paper presents a taxonomy of energy efficient clustering algorithms in WSNs, and presents timeline and description of LEACH and Its descendant in W SNs.
Proceedings ArticleDOI
Algorithms for Node Clustering in Wireless Sensor Networks: A Survey
TL;DR: A comprehensive analysis of clustering algorithms available for WSN are provided and classify them based on the cluster formation parameters and cluster head (CH) election criteria to provide better data aggregation and scalability for the sensor network while conserving limited energy.
Energy Efficient Clustering Algorithms in Wireless Sensor Networks: A Survey
TL;DR: This paper presents a taxonomy of energy effi cient clustering algorithms in WSNs, and presents timeline and description of LEACH and Its descendant in W SNs.
Journal ArticleDOI
Comparison of Residual Energy-Based Clustering Algorithms for Wireless Sensor Network
TL;DR: A survey of the state-of-the-art clustering techniques in WSNs has been compared to find the merits and demerits among themselves.
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