Multi-hop communication routing (MCR) protocol for heterogeneous wireless sensor networks

Kumar, Dilip; Aseri, Trilok Chand; Patel, R. B.

doi:10.1504/ijitcc.2011.039281

Cited by 62 publications

(43 citation statements)

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“…Cluster-Based Routing. Clustering techniques can be broadly classified as distributed [13,[20][21][22][23][24][25][26][27][28][29][30] and centralized clustering [20,[31][32][33][34] based on the answer to the following question: Who coordinates the cluster setup and the BS/CH?…”

Section: Journal Of Sensorsmentioning

confidence: 99%

VCH-ECCR: A Centralized Routing Protocol for Wireless Sensor Networks

Pachlor

Shrimankar

2017

Journal of Sensors

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A wireless sensor network (WSN) is a collection of hundreds to thousands of compact, battery-operated sensors. It is deployed to accumulate useful information from the nearby environment. Depending upon the type of application, the sensors have to work for months to years with a finite energy source. In some extreme environments, the replacement of energy source is challenging and sometimes not feasible. Therefore, it is vital for sensors to perform their duties in an energy efficient way to improve the longevity of the network. This paper proposes an energy-efficient centralized cluster-based routing protocol called Vice-ClusterHead-Enabled Centralized Cluster-based Routing protocol (VCH-ECCR). The VCH-ECCR uses a two-level hierarchy of vice cluster heads to use the energy of sensors efficiently and to cut back the frequency of the clustering. The performance of VCH-ECCR is compared with low-energy adaptive clustering hierarchy (LEACH), LEACH-Centralized (LEACH-C), and base station controlled dynamic clustering protocol (BCDCP). The experimental results show that the VCH-ECCR outperforms over its comparative in terms of network lifetime, overall energy consumption, and throughput.

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Section: Journal Of Sensorsmentioning

confidence: 99%

VCH-ECCR: A Centralized Routing Protocol for Wireless Sensor Networks

Pachlor

Shrimankar

2017

Journal of Sensors

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“…A network may be heterogeneous based on the residual energy at each device [5,6,8,12,13], the radio [16], and/or other hardware [7].…”

Section: Related Workmentioning

confidence: 99%

Efficient In-Network Processing for a Hardware-Heterogeneous IoT

Kolcun

Boyle

McCann

2016

Proceedings of the 6th International Conference on the Internet of Things

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As the number of small, battery-operated, wireless-enabled devices deployed in various applications of Internet of Things (IoT), Wireless Sensor Networks (WSN), and Cyber-physical Systems (CPS) is rapidly increasing, so is the number of data streams that must be processed. In cases where data do not need to be archived, centrally processed, or federated, innetwork data processing is becoming more common. For this purpose, various platforms like DRAGON, Innet, and CJF were proposed. However, these platforms assume that all nodes in the network are the same, i.e. the network is homogeneous. As Moore's law still applies, nodes are becoming smaller, more powerful, and more energy efficient each year; which will continue for the foreseeable future. Therefore, we can expect that as sensor networks are extended and updated, hardware heterogeneity will soon be common in networks -the same trend as can be seen in cloud computing infrastructures. This heterogeneity introduces new challenges in terms of choosing an in-network data processing node, as not only its location, but also its capabilities, must be considered. This paper introduces a new methodology to tackle this challenge, comprising three new algorithms -Request, Traverse, and Mixed -for efficiently locating an in-network data processing node, while taking into account not only position within the network but also hardware capabilities. The proposed algorithms are evaluated against a naïve approach and achieve up to 90% reduction in network traffic during long-term data processing, while spending a similar amount time in the discovery phase.

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“…In this paper, we assume that all deployed sensors are homogeneous in terms of sensing range, angle of view, and number of orientations. We also assume that each sensor is aware of its location by using an arbitrary localization method [18][19][20] and a directional sensor network is connected due to the large communication range of sensors without considering the connectivity issue of sensors.…”

Section: Directional Sensor Modelmentioning

confidence: 99%

Maximizing Network Lifetime of Directional Sensor Networks Considering Coverage Reliability

Gil

Park

Jeong

2013

International Journal of Distributed Sensor Networks

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Directional sensor networks composed of a large number of directional sensors equipped with a limited battery and with a limited angle of sensing have recently attracted attention. Maximizing network lifetime is a challenge in developing energy-efficient directional sensor networks, while covering all of the targets in a given area. However, the existing schemes have considered target coverage problem as only the maximization of network lifetime. In real sensor networks, the quality of target coverage will be varied according to the detection probability of the sensors covering targets. In this paper, we address the directional cover-sets with coverage reliability (DCCR) problem of organizing directional sensors into a group of nondisjoint subsets to extend network lifetime maximally while maintaining networks' satisfied coverage reliability. For the DCCR problem, we first present a coverage reliability model that mainly takes into account the detection probability of each sensor in cover-sets and eventually supports coverage reliability for target coverage. We also develop a heuristic algorithm called directional coverage and reliability (DCR) greedy algorithm to solve the DCCR problem. To verify and evaluate the algorithm, we conduct simulations and show that it extends network lifetime to a reasonable degree while guaranteeing the minimum coverage reliability.

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Multi-hop communication routing (MCR) protocol for heterogeneous wireless sensor networks

Cited by 62 publications

References 0 publications

VCH-ECCR: A Centralized Routing Protocol for Wireless Sensor Networks

VCH-ECCR: A Centralized Routing Protocol for Wireless Sensor Networks

Efficient In-Network Processing for a Hardware-Heterogeneous IoT

Maximizing Network Lifetime of Directional Sensor Networks Considering Coverage Reliability

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