Jong Chern Lim

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Careful control of power transmission levels can play an important role in prolonging the lifetime of a node in a wireless sensor network. Thus in designing efficient wireless sensor networks protocols serious consideration should be given to this factor. This paper investigates the relationship between power transmission levels and received signal strength(More)
Power consumption in wireless sensor networks (WSNs) is a very important issue. Using measured sensor network data, this paper shows that it is possible to conserve a significant amount of energy through the proper use of data prediction and node scheduling without a significant loss in accuracy. Results show that it is possible to increase lifetime by up(More)
Wireless sensor networks consist of a number ofsmall wireless sensor nodes which take measurements and transmit them over wireless links. As wireless sensors are resource constrained, the usage of energy and memory must be done wisely to increase the lifetime of nodes. It is also necessary to deliver data reliably to make any application more useful to the(More)
Wireless Sensor Networks (WSNs) are often used for environmental monitoring applications in which nodes periodically measure environmental conditions and immediately send the measurements back to the sink for processing. Since WSN nodes are typically battery powered, network lifetime is a major concern. A key research problem is how to determine the data(More)
In this paper, a data imputation method, which can achieve robust data collection and also extend network lifetime for Wireless Sensor Networks, is proposed. Due to the lossy nature of the wireless medium, it is common for packets to be lost. In order to provide some reliability for the application layer, a data imputation method which predicts the data(More)
One of the main benefits of using Wireless Sensor Networks (WSNs) is that they can be deployed in remote locations without any prior infrastructure. Because of this nodes are normally battery powered. This limits the performance of the network. In this paper, we propose a novel method of scheduling nodes based on a user’s sensing coverage requirement.(More)
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