Topology Management in Wireless Sensor Networks: Multi-State Algorithms

Alajlan, Abrar M.; Dasari, Benjamin; Nossire, Zyad; Elleithy, Khaled

doi:10.5121/ijwmn.2012.4602

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…The total lifetime of a battery-powered sensor networks is limited by the non-rechargeable battery's capacity and each sensor node is equipped with a limited computation processor to perform its task [16].…”

Section: Energy-efficiencymentioning

confidence: 99%

High-level abstractions in wireless sensor networks: Status, taxonomy, challenges, and future directions

Alajlan

Elleithy

2014

Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education

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Abstract-Wireless sensor networks (WSNs) have gained a lot of considerations in recent years and have significant impacts on different application areas. Wireless sensors have been successfully deployed in different computing environments to measure, gather and process the raw information in the sensing area to the observers. Sensor networks provide infinite opportunities, but at the same time pose rough challenges due to the sensors' characteristics and the operating conditions of these sensors. This paper provides an extensive study of the current state-of-art in programming wireless sensor network, presenting a classification of programming levels in the field and highlighting some likely programming challenges and research future directions.

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Section: Energy-efficiencymentioning

confidence: 99%

High-level abstractions in wireless sensor networks: Status, taxonomy, challenges, and future directions

Alajlan

Elleithy

2014

Proceedings of the 2014 Zone 1 Conference of the American Society for Engineering Education

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“…The overall design of sensor networks should mainly emphasize on enhancing the performance in terms of energy used and power consumed. The total lifetime of a battery-powered sensor networks is limited by the battery's capacity and each sensor node is equipped with a limited computation processor to perform its tasks [7]. Thus, programming model for sensor networks should deploy some applications that attain a proper level of energy-efficiency and to deliver demanded results [8].…”

Section: Requirements For Sensor Network Programmingmentioning

confidence: 99%

A New Programming Model to Simulate Wireless Sensor Networks : Finding The Best Routing Path

Alajlan¹,

Elleithy²,

Pande³

2013

IJCNC

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Sensor networks provide a number of extensive programming challenges for Wireless Sensor Networks (WSNs) application programmers. Application developers have proposed various WSNs programming models to avoid these challenges and make WSN programming much easier. In this work we proposed a new programming model to find the best routing path in WSNs. Then we describe the initial design and the implementation of our proposed model and compare the results in different network topologies and evaluate the new model in terms of cost and accuracy.

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“…The solution to conserve energy and increase the lifetime of the network is proposed in [13]. The proposed algorithm is based on Geographic Adaptive Fidelity (GAF) and Adaptive Self-Configuring Sensor Networks Topology (ASCENT).…”

Section: G Some Other Improved Protocolsmentioning

confidence: 99%

A Study of Geographic Adaptive Fidelity Routing Protocol in Wireless Sensor Network

Grover¹,

Shikha²,

Sharma³

2014

IOSRJCE

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Topology Management in Wireless Sensor Networks: Multi-State Algorithms

Abstract: ABSTRACT

Cited by 4 publications

References 16 publications

High-level abstractions in wireless sensor networks: Status, taxonomy, challenges, and future directions

High-level abstractions in wireless sensor networks: Status, taxonomy, challenges, and future directions

A New Programming Model to Simulate Wireless Sensor Networks : Finding The Best Routing Path

A Study of Geographic Adaptive Fidelity Routing Protocol in Wireless Sensor Network

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