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Wireless Sensor Networks (WSNs) often are deployed in harsh environment where reliable communication may not be feasible. This work proposes data-driven data transmission mechanism to improve packet delivery frequency especially in harsh communication environments. In particular, this work evaluates the effect of adjusting data transmission frequency based on data priority, to provide sufficient data...
Clustering provides an effective way for data gathering in wireless sensor networks. In practice applications, either the difference of energy consumed by sensor nodes or node redeployment leads to the energy heterogeneous networks. This paper proposes a new distributed Low-Energy node Protection Time-driven Clustering algorithm (LEPTC) for heterogeneous wireless sensor networks, in which nodes are...
We consider the problem of finding an optimal and adaptive timeslot scheduling algorithm for long cycle data in WIA-PA network (ATS-LCD), which focuses on hybrid mesh and star network topology and a feedback mechanism that can significantly reduce collisions among clusters. OPNET simulation results demonstrate that ATS-LCD significantly outperforms TDMA-over-CDMA and CSMA MAC protocols in terms of...
This paper investigates the effects of using a realistic discrete power model in cluster-based communication for wireless sensor networks (WSNs). Four different clustering protocols are evaluated by incorporating a model compliant with Crossbow MICAz motes. The energy consumption model takes into account the discrete transmit power levels of the CC2420 radio chip used by MICAz sensor nodes. The radio...
Reducing node energy consumption is a vital requirement in wireless sensor networks. In this paper, we studied classic clustering algorithms in wireless sensor networks and find two main reasons causing unnecessary energy consumption, which are fixed operation periods and too much information exchanged in cluster-heads selection. Then a more energy-efficient clustering algorithm is proposed, whose...
Underwater wireless sensor networks (UWSNs) is a novel networking paradigm to explore aqueous environments. The characteristics of mobile UWSNs, such as low communication bandwidth, large propagation delay, floating node mobility, and high error probability, are significantly different from terrestrial wireless sensor networks. Energy-efficient communication protocols are thus urgently demanded in...
Sensing coverage and energy consumption are two primary issues in wireless sensor networks. The performance of a sensor network depends to a large extent on the sensing coverage, and its lifetime is determined by its energy consumption. In real- world applications, it is unrealistic to guarantee all sensors have the same energy because they have different energy consumption. Moreover, sensors redeployment...
Energy efficiency is of the utmost importance in wireless sensor networks. The family of low-power-listening MAC protocols was proposed to reduce one form of energy dissipation-idle listening, a radio state for which the energy consumption cannot be neglected. Low-power-listening (also called channel probing) MAC protocols are characterized by a duty cycle: a node probes the channel every ti s of...
Sensing coverage and energy consumption are two primary issues in wireless sensor networks. Sensing coverage is closely related to network energy consumption. The performance of a sensor network depends to a large extent on the sensing coverage, and its lifetime is determined by its energy consumption. In this paper, an energy-aware location-independent coverage control protocol for wireless sensor...
Data aggregation is an essential paradigm for energy efficient routing in energy constraint wireless sensor networks (WSN). Data aggregation in WSN can be treated as searching for the Minimum Steiner Tree (MST) including source nodes and sink node. In this paper, we propose a Data-aggregation Algorithm based on Adaptive Ant Colony System (AACS) algorithm. In this algorithm, Directed Diffusion (DD)...
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