Abstract
Over the last few years, energy optimization in wireless sensor networks (WSNs) has drawn the attention of both the research community and actual users. Sensor nodes are powered by attached batteries that are considered as a critical aspect of sensor nodes design. Besides, the constraint of the limited battery capacity is associated with the concern on how to reduce the energy consumption of nodes to extend the network lifetime. In this context, the purpose of this study is to implement an adaptive medium access control (MAC) for energy saving and traffic control enhancement. This program was designed to arrange nodes into two priority groups according to their traffic rate and data transmission packet delay. This fuzzy algorithm depends on their queue length where it is implemented into the carrier sense multiple access with collision avoidance (CSMA/CA) algorithm. However, other types of nodes should send their data during the contention-free period with a GTS reallocation scheme. Those nodes are classified as low priority access to the medium, and their data transmission is scheduled using time division multiple access methods. Moreover, this proposed scheme dynamically adjusts the contention access period length to ensure that nodes can complete their data transmission during the same super-frame. Simulation results are done using the network simulator tool (NS-2), and it has improved efficiency regarding the IEEE-802.15.4 standard.
Highlights
There has been significant research on the traffic management system using wireless sensor networks (WSNs) to optimize the energy consumption and to ensure the priority for an emergency condition
7.1 Performance analysis This paper models energy consumption for beacon-enabled time-slotted media accessing control cooperated with data scheduling in a cluster tree network formulation for IEEE-802.15.4 standard an initial energy equivalent to 1000j
To evaluate the performance of the power consumption and the total number of dropped packets, parameters presented in Table 3 are used for the simulation model: 7.2 Energy consumption To enhance the energy consumption, we have proposed an algorithm that classifies nodes into two categories
Summary
There has been significant research on the traffic management system using WSNs to optimize the energy consumption and to ensure the priority for an emergency condition. Many researches aim to discuss MAC protocols that involve energy optimization and priority-based allocation. During the last few years, a high number of researches have been concentrated on improving energy consumption and reducing delay for WSNs [1,2,3,4]. Data transmission management was being a challenging task for the IEEE-802.15.4 to improve the quality of service (QoS) [5,6,7] by a new slot allocation scheme. The most research optimizes the CSMA/CA method of the IEEE-802.15.4 to improve the quality of service; this method is widely used and recently gained renewed attention. The QoS of IEEE 802.15.4 should be improved in terms of packet delivery
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