Energy efficient workforce selection in special-purpose wireless sensor networks

AbdelSalam, Hady S.; Rizvi, Syed R.

doi:10.1109/infocom.2008.4544609

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…In a series of recent papers [24][25][26][27][28] Abdelsalam and his collaborators have addressed the localization problem and their variants in sensor networks.…”

Section: Sensor Localizationmentioning

confidence: 99%

Fine-granularity clustering in wireless sensor networks

Kamat

Olariu

Ismail

2010

Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia

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The capability of sensor nodes to collect and aggregate ambient data enables a mobile user to receive assistance from the network in charting a safe path through a potentially dangerous area. However, the information would be meaningless without localization. Applying an existing coarse-grain location-aware cluster (virtual infrastructure i.e. VI) for object detection provides only approximate location of dangerous objects as the objects are further away from the center. This distance-dependent locationbased cluster creates various sizes of localized clusters, which cause inconsistency in size and thus may lead to inefficient path planning.The main contribution of this paper is to propose a finegranularity clustering technique, that we call eVI that enhances the performance of previously-proposed VI by dividing clusters into smaller sub-clusters. Utilizing the eVI for autonomous navigation enables mobile sink to detect location of dangerous object effectively and thus result shorter safe travelled distance compared to other sector-based clusters as demonstrated in the simulation result.

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“…In a series of recent papers [24][25][26][27][28] Abdelsalam and his collaborators have addressed the localization problem and their variants in sensor networks.…”

Section: Sensor Localizationmentioning

confidence: 99%

Fine-granularity clustering in wireless sensor networks

Kamat

Olariu

Ismail

2010

Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia

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“…(7) Each task is associated with a certain position, and if the distance between the positions associated with any two tasks~4R then they are not allowed to run concurrent!y to avoid interference. 1 Furthermore, we assume that each task requires the cooperation of a workforce of w sensors, and consumes one unit of energy from each sensor. (8) The network uses any of the well known localization protocols to localize sensors, so each sensor is aware of its current location.…”

Section: Tasking Modelmentioning

confidence: 99%

“…Demand is still rising to design energy efficient protocols that prolong the network lifetime. In a previous work, we devised protocols to prolong the network lifetime for special purpose [1] and critical single hop [2] networks. In this pa-°T his work was supported in part by NSF grant CNS-0721563 Le.…”

Section: Introductionmentioning

confidence: 99%

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Energy-based task load balancing in wireless sensor networks

AbdelSalam

Olariu

2008

2008 5th IEEE International Conference on Mobile Ad Hoc and Sensor Systems

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We investigate how to maximize network lifetime by devising a task assignment protocol that balances task load on sensors based on their remaining energy. First, we show that energy-unaware protocols can excessively assign tasks to a set of sensors more than others. Consequently, the energy of those heavily loaded sensors will be depleted much faster than lightly loaded ones. This results in reducing network density around heavily loaded sensors and eventually creates energy holes that isolate the network into separated islands. This kind of behavior has its negative impacts on network durability and reliability. To avoid these problems, we propose a management protocol that assigns tasks to sensors based on their remaining energy so that energy consumption is almost even among network sensors.

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“…These faults can be due to hardware/software failures or energy depletion. In hostile deployments, the faults may be caused by natural or human adversaries, e.g., natural disasters in calamity-struck regions or radio jamming in a battlefield [ 1 ]. Despite WSN’s fault-prone characteristics, mission-critical natures of emerging WSN applications (e.g., military, healthcare, and disaster recovery applications) require that communication to/from sensors is dependable and reliable.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Backbone-Assisted Reliable Framework for Wireless Sensor Networks

Tufail

Khayam

Raza

et al. 2010

Sensors

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An extremely reliable source to sink communication is required for most of the contemporary WSN applications especially pertaining to military, healthcare and disaster-recovery. However, due to their intrinsic energy, bandwidth and computational constraints, Wireless Sensor Networks (WSNs) encounter several challenges in reliable source to sink communication. In this paper, we present a novel reliable topology that uses reliable hotlines between sensor gateways to boost the reliability of end-to-end transmissions. This reliable and efficient routing alternative reduces the number of average hops from source to the sink. We prove, with the help of analytical evaluation, that communication using hotlines is considerably more reliable than traditional WSN routing. We use reliability theory to analyze the cost and benefit of adding gateway nodes to a backbone-assisted WSN. However, in hotline assisted routing some scenarios where source and the sink are just a couple of hops away might bring more latency, therefore, we present a Signature Based Routing (SBR) scheme. SBR enables the gateways to make intelligent routing decisions, based upon the derived signature, hence providing lesser end-to-end delay between source to the sink communication. Finally, we evaluate our proposed hotline based topology with the help of a simulation tool and show that the proposed topology provides manifold increase in end-to-end reliability.

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Energy efficient workforce selection in special-purpose wireless sensor networks

Cited by 9 publications

References 6 publications

Fine-granularity clustering in wireless sensor networks

Fine-granularity clustering in wireless sensor networks

Energy-based task load balancing in wireless sensor networks

An Enhanced Backbone-Assisted Reliable Framework for Wireless Sensor Networks

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