Heterogeneous HEED Protocol for Wireless Sensor Networks

Chand, Satish; Singh, Samayveer; Kumar, Bijendra

doi:10.1007/s11277-014-1629-y

Cited by 102 publications

(49 citation statements)

References 20 publications

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“…When the number of rounds has been increased for each set of node, residual energy of nodes has been decreased. Chand et al [5] have proposed HEED for the heterogeneous network. It depends on the type of nodes.…”

Section: Literature Reviewmentioning

confidence: 99%

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An Efficient Routing Protocol Adopting Enhanced Cluster Formation Technique Accompanied by Fuzzy Logic for Maximizing Lifetime of WSN

Hiremani¹,

Basavaraju²

2016

IJIES

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Abstract:Wireless sensor networks is a system of multiple small sensors limited energy sources, used to sense any given sensing region of interest. In WSN, sensors might be required to work for a longer duration of time from the time of its deployment. Hence to optimize the utilization of energy at each node, we propose an algorithm, which can eventually enhance the lifetime and hence the reliability of the sensor nodes and the overall network. Here PSO based efficient clustering is performed and the appropriate selection of CH and SCH is done. The proposed approach outperforms the tradition F-LEAH algorithm. The result obtained through simulation shows that the proposed algorithm performs better than F-LEACH approach in terms of stability, reduced energy consumption at each node, less delay and drop at the BS and enhanced the lifetime of the network.

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Section: Literature Reviewmentioning

confidence: 99%

“…SCHeligibility value of a node depicts the chances of a node being an SCH in the given network. The output of SCHeligibility is composed of seven membership functions: Very weak (-1), Weak (0) ,Lower medium (1), Medium (2), Higher medium (3), Strong (4), Very strong (5).…”

Section: Fuzzy Based Sch Selectionmentioning

confidence: 99%

An Efficient Routing Protocol Adopting Enhanced Cluster Formation Technique Accompanied by Fuzzy Logic for Maximizing Lifetime of WSN

Hiremani¹,

Basavaraju²

2016

IJIES

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“…Interestingly, existing works on compressed data gathering in WSNs, mainly exploit the tree based routing structure. Because of the drawbacks of the tree based routing structure, such as unstable network topology, most of the existing works face the problem of unreliability and poor quality of service [26].…”

Section: Related Workmentioning

confidence: 99%

Hierarchical Compressed Sensing for Cluster Based Wireless Sensor Networks

Singh¹,

Kumar²

2016

ijacsa

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Abstract-Data transmission consumes significant amount of energy in large scale wireless sensor networks (WSNs). In such an environment, reducing the in-network communication and distributing the load evenly over the network can reduce the overall energy consumption and maximize the network lifetime significantly. In this work, the aforementioned problem of network lifetime and uneven energy consumption in large scale wireless sensor networks is addressed. This work proposes a hierarchical compressed sensing (HCS) scheme to reduce the innetwork communication during the data gathering process. Corelated sensor readings are collected via a hierarchical clustering scheme. A compressed sensing (CS) based data processing scheme is devised to transmit the data from the source to the sink. The proposed HCS is able to identify the optimal position for the application of CS to achieve reduced and similar number of transmissions on all the nodes in the network. An activity map is generated to validate the reduced and uniformly distributed communication load of the WSN. Based on the number of transmissions per data gathering round, the bit-hop metric model is used to analyse the overall energy consumption. Simulation results validate the efficiency of the proposed method over the existing CS based approaches.

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“…After that select as a cluster head for the next round. In the steady state Phase all the data is transmitted from the sensor node to cluster head and then cluster head aggregate the data to transfer at the base station [12] [13]. In HEED (Hybrid Energy-Efficient Distributed Clustering) two parameter are used, the first parameter is residual energy and the second parameter is network topology (distance between the neighbors node, node degree) [4].…”

Section: Introductionmentioning

confidence: 99%

Simulative and Comparision Analysis of Leach and Heed Protocol in Ns2

Bano¹

2017

ijarcs

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Nowadays, the wireless sensor network is the fast emerging technique for an ad-hoc network. Most of the routing protocol extended the network lifetime by uses the less consumption of battery by the sensor nodes. The proposed routing algorithms mostly use the hierarchical routing to increase the network lifetime and overcome the all issues in the network. The clustering approach is used to extend the lifetime of sensor node and decrease the energy consumption in the sensor network. These papers compare the various quality of service (QoS) parameter of network. In this paper we compare the LEACH and HEED protocol in term of QoS parameter. The experimental results show that the comparison of HEED protocol is better as compared to LEACH. Also the HEED algorithm is more energy efficient algorithm as compare to LEACH, because this algorithm extend the network lifetime and decreases the energy consumption.

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Heterogeneous HEED Protocol for Wireless Sensor Networks

Cited by 102 publications

References 20 publications

An Efficient Routing Protocol Adopting Enhanced Cluster Formation Technique Accompanied by Fuzzy Logic for Maximizing Lifetime of WSN

An Efficient Routing Protocol Adopting Enhanced Cluster Formation Technique Accompanied by Fuzzy Logic for Maximizing Lifetime of WSN

Hierarchical Compressed Sensing for Cluster Based Wireless Sensor Networks

Simulative and Comparision Analysis of Leach and Heed Protocol in Ns2

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