An Energy-Aware Routing Protocol for Query-Based Applications in Wireless Sensor Networks

Ahvar, Ehsan; Ahvar, Shohreh; Lee, Gyu Myoung; Crespi, Noël

doi:10.1155/2014/359897

Cited by 19 publications

(13 citation statements)

References 11 publications

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“…Two cases were examined, the first DOI: 10.9790/0661-1804057989 www.iosrjournals.org 89 | Page case uses different number of nodes (20, 40, 65, 75, 85, and 100) with fixed data rate (2 packets/sec), while the second uses different data rates (2,3,4,5,6, and 7) with fixed network size (65 nodes). Simulation results have shown that the FEQRP performs competitively against the EAGRP in terms of average energy consumption, throughput, data dropped, average packet delivery ratio and average end to end delay.…”

Section: Discussionmentioning

confidence: 99%

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FEQRP: a Fuzzy based Energy-efficient and QoS Routing Protocol over WSNs

Al-Quh¹,

Ismail²,

Kotb³

2016

IOSR

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Section: Discussionmentioning

confidence: 99%

“…However the energy manager protocols balance the energy consumption in the WSN to avoid network partitioning. Therefore, a new QoS routing protocol over WSNs, named, Fuzzy based Energy-efficient and QoS Routing protocol over WSNs (FEQRP) is proposed, which considers energy saving as well as energy balancing by fuzzy set approach [4] [5].…”

Section: Introductionmentioning

confidence: 99%

FEQRP: a Fuzzy based Energy-efficient and QoS Routing Protocol over WSNs

Al-Quh¹,

Ismail²,

Kotb³

2016

IOSR

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“…And finally, the paper is ended with the conclusion and future work at section 5. extended from GPRS protocol incorporates the security mechanism. Ahvar et al [3] investigated the fuzzy based energy aware routing protocol for WSN. FEAR protocol considers the energy balancing and energy saving.…”

Section: Figure1data Gathering In Sensor Networkmentioning

confidence: 99%

Seladg: Secure Energy Efficient Location Aware Data Gathering Approach for Wireless Sensor Networks

Juliana¹,

Srinivasan

2015

International Journal on Smart Sensing and Intelligent Systems

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Abstract-Recent trends in wireless sensor networks leads to the development of new protocols for data gathering. In this paper, a secure energy efficient location aware data gathering approach is introduced to secure data gathering. An Elliptic Curve Diffie Hellman Key Exchange (ECDHKE) algorithm is utilized for key generation and key exchange between the sensor nodes to maintain security and prevent the data from malicious nodes. The performance of the proposed scheme is validated in terms of packet drop, throughput, energy consumption, residual energy and network lifetime. The proposed scheme achieves better performance than the existing EEHA and SMART schemes.

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“…The next step is to reduce power consumption in transmitting the data to base station. There are a number of protocols available for energy efficient hopping like HCR [20], HEED [21], PEGASIS [22], ERP [23], SEP [24] and LEACH [25]. In all these WSNs, the location of the base station plays a critical role in lifetime of individual nodes in the network.…”

Section: Introductionmentioning

confidence: 99%

Lifetime Maximization of Wireless Sensor Networks for a Fault Diagnosis System Using LEACH Protocol

2018

Teh. vjesn.

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The breakdown in a machine created by a fault will greatly affect the plant operation. The frame work of fault diagnosis of machines using machine learning techniques is an established area. Here, the fault diagnosis system is implemented with the help of wireless sensor networks (WSN). Each machine in the plant is fitted with sensors (node) from which the fault diagnosis is carried out. The signals/messages from each node are transmitted to a base station, which acts as a central control unit for the entire plant. Fault diagnosis using WSN in a factory setup has few challenges. The major issue in WSN is the life time of the nodes, as they are situated far away from base station in many plants like thermal power plant, refinery, and petroleum industries. To address the life time of the nodes many researchers have developed many protocols like LEACH, SEP, ERP, HCR, HEED, and PEGASIS. The plants need customisation in terms of choosing suitable algorithms and choosing location of the base station within the plant for better life time of the nodes. This paper presents results of both experimental and simulation studies of a typical plant, where the vibration signals from each machine are acquired and through machine learning techniques the fault diagnosis is performed with the help of wireless sensor networks. For illustrative purpose, a well reported bearing fault diagnosis data set is taken up and fault diagnosis case study was performed from wireless sensor networks point of view (experimental study). Here, at every stage, the computational time is taken as a primary concern which affects the life time of the sensor nodes. Then, the WSN of 18 sensor nodes representing 18 machines with LEACH protocol is simulated in Matlab© to study the life time characteristics of each node while keeping base station at different locations. The life time of different nodes is heavily dependent on the location of the base station. Finding the right location of the base station for a given plant is another contribution of this work.

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An Energy-Aware Routing Protocol for Query-Based Applications in Wireless Sensor Networks

Cited by 19 publications

References 11 publications

FEQRP: a Fuzzy based Energy-efficient and QoS Routing Protocol over WSNs

FEQRP: a Fuzzy based Energy-efficient and QoS Routing Protocol over WSNs

Seladg: Secure Energy Efficient Location Aware Data Gathering Approach for Wireless Sensor Networks

Lifetime Maximization of Wireless Sensor Networks for a Fault Diagnosis System Using LEACH Protocol

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