Quasi centralized clustering approach for an energy-efficient and vulnerability-aware routing in wireless sensor networks

Khan, Noor M.; Ali, Ihsan; Khalid, Zubair; Ahmed, Ghufran; Ramer, Rodica; Kavokin, Alex

doi:10.1145/1374699.1374712

Cited by 18 publications

(13 citation statements)

References 20 publications

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“…This protocol employs the concept the vulnerability in the cluster based sensor networks. The energy-efficient and vulnerability-aware technique which is proposed in this paper extends the quasi-centralized clustering approach discussed in [16]. This technique considers factors like battery power and vulnerability factor to calculate the cost function for every path in the cluster based network.…”

Section: Related Workmentioning

confidence: 99%

“…The secure path is chosen based on these factors as shown in Figure 2 below. The comparison is made between the proposed technique and the previously discussed quasi centralized technique (QCCA) discussed in [16]. …”

Section: Problem Solution and System Modelmentioning

confidence: 99%

“…The forwarding of packets in the network is performed exactly as discussed in [16]. The entire procedure is comprised of two steps of operation: set up phase and steady-state phase.…”

Section: Packet Forwardingmentioning

confidence: 99%

“…The field in which nodes are deployed is divided into various segments called clusters and each cluster has its own cluster head. In this paper, a new cluster based routing protocol has been proposed which extends the work done in [15], [16]. To incorporate the energy-aware and vulnerability characteristics for routing, it considers RSSI (Received Signal Strength Indicator), among other factors like distance, battery power, energy and vulnerability.…”

Section: Introductionmentioning

confidence: 99%

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Secure and Energy Efficient Routing in Wireless Multi-hop Clustered Networks Based on RSSI

Gupta

Kathuria

Sengupta

2018

IJET

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Today is an era of technology and computing. This technological revolution has created a need for anything and everything to be connected to each other in order to achieve a better communication and utilisation of resources. An isolated computer becomes an information island and may not be able to achieve the optimum use of power and resources. To connect computer systems, there are two options available: one is the installation of LAN (local area networking) cables which may be cumbersome at first but it ensures security and the other one is wireless media. Wireless networking, apart from being simple and efficient, poses serious challenges of security breach by rogue nodes and compromise in performance due to dynamic nature of mobile nodes. Extensive research has been carried out so far and several algorithms and protocols have been formulated to incorporate the location and energy aware characteristics for routing. The technique proposed in this paper considers various factors like energy, distance, vulnerability and battery power while propagating the packet information between the nodes in a sensor networks implementing the heterogeneity in terms of nodes. The ultimate aim is to enhance the longevity of the sensor network while ensuring the security of the network. This is achieved by considering RSSI (Received Signal Strength Indicator) factor in accord with other factors in a multi-hop routing. Extensive simulation results and analysis demonstrate that the proposed technique outperforms other security mechanisms and protocols in the literature in terms of energy awareness, security and routing efficiency.

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Section: Related Workmentioning

confidence: 99%

Section: Problem Solution and System Modelmentioning

confidence: 99%

“…The forwarding of packets in the network is performed exactly as discussed in [16]. The entire procedure is comprised of two steps of operation: set up phase and steady-state phase.…”

Section: Packet Forwardingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Secure and Energy Efficient Routing in Wireless Multi-hop Clustered Networks Based on RSSI

Gupta

Kathuria

Sengupta

2018

IJET

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“…Nevertheless, in limited number of hops [8], the mobile sink radios and receives message within a limited transmission range, and the energy consumption of forwarding path can be effectively reduced, such as TTDD protocol [9].…”

Section: Introductionmentioning

confidence: 99%

An Energy-efficient Mobile Routing Algorithm in Wireless Sensor Network

Zhang

Li²,

Liu³

et al. 2015

IJCA

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PFARS: Enhancing throughput and lifetime of heterogeneous WSNs through power‐aware fusion, aggregation, and routing scheme

Khan

Zakarya

Tan

et al. 2019

Int J Communication

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Summary Heterogeneous wireless sensor networks (WSNs) consist of resource‐starving nodes that face a challenging task of handling various issues such as data redundancy, data fusion, congestion control, and energy efficiency. In these networks, data fusion algorithms process the raw data generated by a sensor node in an energy‐efficient manner to reduce redundancy, improve accuracy, and enhance the network lifetime. In literature, these issues are addressed individually, and most of the proposed solutions are either application‐specific or too complex that make their implementation unrealistic, specifically, in a resource‐constrained environment. In this paper, we propose a novel node‐level data fusion algorithm for heterogeneous WSNs to detect noisy data and replace them with highly refined data. To minimize the amount of transmitted data, a hybrid data aggregation algorithm is proposed that performs in‐network processing while preserving the reliability of gathered data. This combination of data fusion and data aggregation algorithms effectively handle the aforementioned issues by ensuring an efficient utilization of the available resources. Apart from fusion and aggregation, a biased traffic distribution algorithm is introduced that considerably increases the overall lifetime of heterogeneous WSNs. The proposed algorithm performs the tedious task of traffic distribution according to the network's statistics, ie, the residual energy of neighboring nodes and their importance from a network's connectivity perspective. All our proposed algorithms were tested on a real‐time dataset obtained through our deployed heterogeneous WSN in an orange orchard and also on publicly available benchmark datasets. Experimental results verify that our proposed algorithms outperform the existing approaches in terms of various performance metrics such as throughput, lifetime, data accuracy, computational time, and delay.

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Quasi centralized clustering approach for an energy-efficient and vulnerability-aware routing in wireless sensor networks

Cited by 18 publications

References 20 publications

Secure and Energy Efficient Routing in Wireless Multi-hop Clustered Networks Based on RSSI

Secure and Energy Efficient Routing in Wireless Multi-hop Clustered Networks Based on RSSI

An Energy-efficient Mobile Routing Algorithm in Wireless Sensor Network

PFARS: Enhancing throughput and lifetime of heterogeneous WSNs through power‐aware fusion, aggregation, and routing scheme

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