Abstract
Depending upon the technological developments, the same fast evolution has occurred in the structures of sensor networks, their composing devices which are sensor nodes, and their application areas. Those tiny, energy-constrained, mostly non-real-time data transmitting sensor nodes have evolved to more energy-containing, camera-adapted, real-time multimedia-data-transmitting devices. Developments in the usage areas and the capabilities have revealed some other problems such as time limited data transmission. In this paper, we propose a multichannel cross-layer architecture for Quality of Service (QoS) constrained multimedia sensor networks. The proposed architecture considers both the time and energy efficiency concepts. Energy efficiency is succeeded by ensuring the fair load distribution among the nodes during a real-time multimedia packet stream transmission. Besides ensuring the fair load distribution, on-time packet transmission is also assured by constructing the paths with a hard reservation technique depending on the predetermined QoS constraints. Simulations show that the proposed architecture provides higher performance than the Greedy approach and the LEERA scheme.
Highlights
Technological advances have provided great facilities and opportunities for human life
Wireless Sensor Networks (WSNs) consist of a data collection mechanism called sink, the sensor nodes composing the backbone, and the communication protocols that define the way of data exchange between the devices
Energy scarcity is the major problem of WSNs
Summary
Technological advances have provided great facilities and opportunities for human life. As a result of rapid technological evolutions, it is possible to equip the sensor nodes with tiny cameras and microphones to gather multimedia data from the environment This new network type is called the Multimedia. MWSNs require a specific QoS value, which is not a crucial issue for WSNs. Lastly, in order to prevent a collision caused by continuously sending of the packets inside the network, the obtained data must be stored inside the nodes for a while. In order to prevent a collision caused by continuously sending of the packets inside the network, the obtained data must be stored inside the nodes for a while This situation causes another challenge because the sensor nodes are small sized devices and contain limited storage areas [10]. In this paper, we propose a crosslayer approach, in which both the QoS and the energy issues are considered together
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