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With the growing interest in wireless sensor networks (WSNs), minimizing network delay and maximizing sensor (node) lifetime are important challenges. Since the sensor battery is one of the most precious resources in a WSN, efficient utilization of the energy to prolong the network lifetime has been the focus of much of the research on WSNs. For that reason, many previous research efforts have tried...
Data aggregation is a fundamental problem in wireless sensor networks that has attracted great attention in recent years. To design a data aggregation scheme, delay and energy efficiencies are two crucial issues that require much consideration. In this paper, we propose a distributed, energy-efficient algorithm for collecting data from all sensor nodes with minimum latency called Delay-minimized Energy-efficient...
Data Aggregation is a fundamental activity in wireless sensor networks. Recent studies in this area focus on giving collision-free scheduling and finding the upper bound of delay time in aggregation. In this paper, we propose a new scheduling strategy, based on Neighboring Dominators, to minimize the time latency in data aggregation. With the new scheduling strategy, we mathematically prove that the...
In wireless sensor networks, density control is a promising approach that has a considerable impact on extending the network lifetime. To optimize the energy utilization, the sensors in active mode adjust their sensing ranges to fulfill two conflicting objectives, minimizing the overlapping sensing area of the sensors and at the same time maintaining a high degree of coverage. In this paper, we consider...
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