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Table 2. The survey of Papers Research field. Table 2. Continued.

Table 2 The survey of Papers Research field. Table 2. Continued.

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Figure 2. Wireless Sensor Network protocol stack. Figure 1. A typical WSN architecture.
Figure 2. Wireless Sensor Network protocol stack. Figure 1. A typical WSN architecture.
the sensing tasks, different types of application software can be built and used on the application layer. Moreover, the protocol stack may also supports different planes: power management plane, mobility management plane and task management plane. These planes helps the sensor nodes coordinating the sensing tasks and lowering the overall energy consumption through monitoring the power, movement, and task distribution among the sensor nodes.
the sensing tasks, different types of application software can be built and used on the application layer. Moreover, the protocol stack may also supports different planes: power management plane, mobility management plane and task management plane. These planes helps the sensor nodes coordinating the sensing tasks and lowering the overall energy consumption through monitoring the power, movement, and task distribution among the sensor nodes.
Table 1. A comparison of the RF communication standards. among the sensors and the redundant communication channels in the networks enable a better sensing coverage and provide more reliable information delivery [5] [6]. Moreover, the low-power consumption made WSNs very attractive for a broad variety of applications such as habitat monitoring, environmental monitoring, surveillance and emergency scenarios and much more. The rest of this paper is organized as follows: section | presents an introduction to the VoWSN system, section - describe the structure of VoWSN system, section 4 list th challenges related to the VoWSN system design, section gives a comprehensive literature review related to the subjec of VoWSN and section 6 provides conclusions an discussion.
Table 1. A comparison of the RF communication standards. among the sensors and the redundant communication channels in the networks enable a better sensing coverage and provide more reliable information delivery [5] [6]. Moreover, the low-power consumption made WSNs very attractive for a broad variety of applications such as habitat monitoring, environmental monitoring, surveillance and emergency scenarios and much more. The rest of this paper is organized as follows: section | presents an introduction to the VoWSN system, section - describe the structure of VoWSN system, section 4 list th challenges related to the VoWSN system design, section gives a comprehensive literature review related to the subjec of VoWSN and section 6 provides conclusions an discussion.
Figure 3. Reference model of VoWSN for voice communication. Voice transmission is one of the multimedia applications that are recently being interested in the area of WSN [9]. The transmission of audio signals throughout a wireless network in which every its node is capable of sensing and interpreting events and processing jobs collaboratively with other nodes is called VoWSN [10]. With VoWSN, voice data captured with an event trigger can be transferred in an automated way. The advantages of VoWSN approach could be exceptionally profitable. Furthermore, when comparing a VoWSN, with the classic COTS analogical audio surveillance systems, VoWSNs could ensure more inescapability, reduced power For voice transmission system, the WSN shown in Figure 3 is depicted. This system include two types of sensor nodes; the first are the sensor nodes equipped with an auxi microcontroller and an audio sensor, and the others are sensor nodes that acting as simple routing sensors. As shown in Figure 3, the gap between the audio sensor node to t ne iary base station or sink node would be deployed with routing nodes to gather information through multi-hop routing [10]. Th sensor nodes are configured to detected audio signa their surrounding environment and then sampling t Ss e audio from hese signals. After audio data acquired by the sensor nodes, the signals then transmitted back through the routing nod es toa high performance processing platform for further processing. This platform may be a single board computer.
Figure 3. Reference model of VoWSN for voice communication. Voice transmission is one of the multimedia applications that are recently being interested in the area of WSN [9]. The transmission of audio signals throughout a wireless network in which every its node is capable of sensing and interpreting events and processing jobs collaboratively with other nodes is called VoWSN [10]. With VoWSN, voice data captured with an event trigger can be transferred in an automated way. The advantages of VoWSN approach could be exceptionally profitable. Furthermore, when comparing a VoWSN, with the classic COTS analogical audio surveillance systems, VoWSNs could ensure more inescapability, reduced power For voice transmission system, the WSN shown in Figure 3 is depicted. This system include two types of sensor nodes; the first are the sensor nodes equipped with an auxi microcontroller and an audio sensor, and the others are sensor nodes that acting as simple routing sensors. As shown in Figure 3, the gap between the audio sensor node to t ne iary base station or sink node would be deployed with routing nodes to gather information through multi-hop routing [10]. Th sensor nodes are configured to detected audio signa their surrounding environment and then sampling t Ss e audio from hese signals. After audio data acquired by the sensor nodes, the signals then transmitted back through the routing nod es toa high performance processing platform for further processing. This platform may be a single board computer.
Figure 4. VoWSN system functions block. As an example, the wireless communication system of the VoWSN based on ZigBee is shown in Figure 4 [13]
Figure 4. VoWSN system functions block. As an example, the wireless communication system of the VoWSN based on ZigBee is shown in Figure 4 [13]
Figure 5. VoWSN research orientation diagram. Researchers have started to exploit the versatility of WSNs with applications relating to acoustic signals. Rapidly, VoWSNs applications are gaining interest by researchers to develop new services. Later the researches evolved tried to resolve some problems addressed by implementing VoWSNs. In general, depending on the applications, research orientations of VoWSN can be categorized into two domains: voice communication system and Ambient Intelligence as shown in Figure 5.
Figure 5. VoWSN research orientation diagram. Researchers have started to exploit the versatility of WSNs with applications relating to acoustic signals. Rapidly, VoWSNs applications are gaining interest by researchers to develop new services. Later the researches evolved tried to resolve some problems addressed by implementing VoWSNs. In general, depending on the applications, research orientations of VoWSN can be categorized into two domains: voice communication system and Ambient Intelligence as shown in Figure 5.
5.2. Ambient Intelligence
5.2. Ambient Intelligence
Table 3. The survey of papers Research field.
Table 3. The survey of papers Research field.
Related topics:
Embedded SystemsVoice over IPVoice (Communication)Ambient IntelligenceReal Time Embedded SystemsVoice CommunicationIntelligent Embedded systems
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