Enhanced Threshold Sensitive Stable Election Protocol for Heterogeneous Wireless Sensor Network

Kumar, Shekhar; Verma, Shashi Kant; Kumar, Awadhesh

doi:10.1007/s11277-015-2925-x

Cited by 50 publications

(22 citation statements)

References 16 publications

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“…Dual Cluster Head Routing Protocol (DCHRP) [14], is implemented on heterogeneous network [15], which is implemented using dual cluster head and has three levels of heterogeneity. DCHRP is fundamentally based on Enhanced Threshold Sensitive Stable Election Protocol (ETSSEP) [16]. There are three categories of nodes advance nodes, intermediate node and normal nodes.…”

Section: Related Workmentioning

confidence: 99%

Threshold Driven Energy-Efficient and Scalable Dual Cluster Head Protocol

Nath,

Dey

2019

IJEAT

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In WSN cluster-based routing approach is a major step in the direction of energy efficiency. However, research shows that energy dissipation in a cluster-based approach predominantly occurs in two cases; first during data transmission to the base station and second during data fusion/aggregation. Eventually, this leads to sizable energy dissipation, the early death of CHs and results in lower network lifetime. Moreover, in most of the recent proposed works, it is never assured that an individual node selected as a Cluster-Head would perform all the assigned tasks without dying in the process. Thus to address these problems, a new approach is proposed in this paper, where two cluster-heads (CHs) in every cluster are selected; first cluster-head being used for data aggregation (Primary-CH) and second for data transmission (Secondary-CH), which assists in reducing the burden of a single Cluster Head. Along with the dual Cluster-Heads, another key feature adopted in this paper is the Energy Threshold values for PCH and SCH. These Energy Thresholds for different CHs calculates the minimum energy required by a node to perform all the tasks assigned to it when elected as CH. So, while electing Primary Cluster-Head (PCH) and Secondary Cluster-Head (SCH) along with other criterions energy threshold values for PCH (EPO) and energy threshold values for SCH (ESO) are also used. Any node with remaining energy less than that of energy thresholds would never be considered for Cluster-Heads. Therefore, by employing the above-mentioned criterions, this article proposes a new protocol that uses dual heads and assists in enhancing the network life of a network as compared to LEACH protocol.

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Section: Related Workmentioning

confidence: 99%

Threshold Driven Energy-Efficient and Scalable Dual Cluster Head Protocol

Nath,

Dey

2019

IJEAT

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“…LEACH Clustering Protocol Based on Three Layers (LEACH-T) divides WSNs into three layers and elects a cluster head in each layer [31]. Stable Election Protocol (SEP) determines whether a sensor node selected a CH according to the weighted probability [32]. CL-LEACH forward data according to more current energy of the node to better balance network energy [33].…”

Section: Related Workmentioning

confidence: 99%

Research on routing optimization of WSNs based on improved LEACH protocol

Liang

Yang

et al. 2019

J Wireless Com Network

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LEACH routing protocol equalizes the energy consumption of the network by randomly selecting cluster head nodes in a loop, which will lead to the defect of unstable network operation. Therefore, in order to solve this problem, it is necessary to reduce the energy consumption of data transmission in the routing protocol and increase the network life cycle. However, there is also a problem that cluster heads count with a wide range and the cluster head forwarding data consumed greatly power in the LEACH, which remains to be solved. In this paper, we put forward an approach to optimize the routing protocol. Firstly, the optimal number of cluster head is calculated according to the overall energy consumption per round to reduce the probability of excessive cluster head distribution. Then, the cluster head is used as the core to construct the Voronoi Diagram. The nodes in the same Voronoi diagram become a cluster, that the energy consumption communication in intra-cluster would be less. Finally, in order to optimize the multi-hop routing protocol, an ant colony algorithm is added using a cluster head near the BS to receive and forward it from a remote cluster head. According to the MATLAB simulation data, the protocol can significantly prolong the lifetime of WSNs compared with the LEACH protocol and increase the energy efficiency per unit node in per round. Energy consumption of the proposed approach is only. The approach improved the First Node Death (FND) time by 127%, 22.2%, and 14.5% over LEACH, LEACH-C, and SEP, respectively.

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“…The protocol ETSSEP [23] was developed based on TSEP [22]. In ETSSEP, the sensor nodes can be divided into three categories as: advance, intermediate and normal nodes consistent with their power levels.…”

Section: A Related Workmentioning

confidence: 99%

“…As per the first order radio model [25] appeared in Fig. 5, the energy/power needed to transmit K-bits at a distance d is given as:…”

Section: Radio Model and Simulation Environmentmentioning

confidence: 99%

A Swarm Optimization Based Power Aware Clustering Strategy for WSNs

Jangwan¹,

Negi²

2017

International Journal on Advanced Science, Engineering and Information Technology

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The technique of division of a wireless sensor network (WSN) into clusters has proved to most suitable for the reliable data communication inside the network. This approach also improves the throughput of the system along with other attributes such as rate of delivering data packet to the base station (BS) and overall energy dissipation of the sensor nodes in the network. This in turn results in the increased network lifetime. As the sensor nodes are operated by battery or some other source, this introduces a constraint in energy resource. Therefore, there is a strong need to develop a novel approach to overcome this constraint, since this phenomenon leads to the degradation of the network. The swarm intelligence approach is able to cope with all such pitfalls of WSNs. In this paper, we have presented a cluster-head (CH) selection technique which is based on swarm optimization with the main aim to increase the overall network lifetime. The proposed approach gives higher effects with regards to power utilization of nodes, data packets received at BS and stability period, and for this reason serves to be a higher performer as compared to Stable Election Protocol (SEP) and Enhance Threshold Sensitive Stable Election Protocol (ETSSEP). MATLAB simulation outcomes exhibit that the proposed clustering strategy outperforms the SEP and ETSSEP with regards to the above noted attributes.

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Enhanced Threshold Sensitive Stable Election Protocol for Heterogeneous Wireless Sensor Network

Cited by 50 publications

References 16 publications

Threshold Driven Energy-Efficient and Scalable Dual Cluster Head Protocol

Threshold Driven Energy-Efficient and Scalable Dual Cluster Head Protocol

Research on routing optimization of WSNs based on improved LEACH protocol

A Swarm Optimization Based Power Aware Clustering Strategy for WSNs

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