Abstract
As part of the recent IEEE 802.15.5 wireless mesh sensor networks (WMSN) standard, Synchronous Energy Saving (SES) is planned to provide energy savings to scheduled communications with strict temporal requirements that, a priori, facilitate the development of delay-sensitive applications. It is accomplished by means of different mechanisms, among which we highlight a straightforward synchronization process. However, the SES synchronization scheme introduces variable delays in the dissemination of information and reduces the lifetime of the nodes and the entire network significantly, thus limiting the full exploitation of SES. This article presents a new synchronization approach, that we call Hi gh- Pe rformance Syn chronization Algorithm for wireless mesh sensor networks (HIPESYN), which is adapted to the IEEE 802.15.5 standard for synchronous communications. HIPESYN supports intensive bandwidth applications in a much better way than with the original design. The proposed algorithm is also thoroughly evaluated and its results carefully discussed.
Highlights
Wireless Sensor Networks (WSNs) are created by the interconnection of low-cost communication devices that report information acquired from different sensors at low bitrates
We show that the network performance of IEEE 802.15.5 deteriorates noticeably because, in a same region, the synchronization process prevails over the reception of data
The possibility of delivering intensive traffic together with sensor monitoring data under efficient power consumption conditions will greatly contribute to the final commercial expansion of wireless mesh sensor networks (WMSN)
Summary
Wireless Sensor Networks (WSNs) are created by the interconnection of low-cost communication devices (nodes) that report information acquired from different sensors (temperature, humidity, pressure, etc.) at low bitrates. The consumption of energy is obtained from the following premises: For the reservation-based method, the selection of the operational mode for continuous transmission rate is a key issue, because all nodes in a source– destination path have a message ready to be delivered within the corresponding time slot of the inactive period. In order to conduct a comprehensive power-consumption evaluation study, we present a brief classification according to the node’s role as designed by the IEEE 802.15.5 standard to find out how much energy is wasted by each type of node To this aim, the device’s role falls into three categories: (1) mesh coordinator or region synchronizer; (2) sender or receiver node; and (3) intermediate nodes which are responsible for routing data from the sender to the receiver. PSYNC(ix,WI) is computed by a simple sum of probabilities for all the WIs until the current one (WIx), each one of them balanced by the independent component of the probability, PINST-SYNC(ix,WI), to carry out the synchronization process during an isolated WI, as referred by Equation (7)
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