Opportunity cooperative embedded platform and control mechanism based on selectivity of time and frequency domain
© Jin et al. 2016
Received: 4 January 2016
Accepted: 6 March 2016
Published: 15 March 2016
The opportunistic cooperative platform and adaptive cooperative control scheme were proposed based on the redundancy degree and priority of cooperative data packet, as well as selective characteristics of time domain and frequency domain. First, opportunistic cooperative platform was defined according to the cooperative data stream scale, mapping algorithm, and priority and redundancy of cooperative data packets. Second, under the single or multiple relay network environment and mobility of sensors, the selective characteristics of time and frequency domain were studied. The active domain and negative domain were proposed for adjusting and improving the opportunistic cooperative platform. Third, the opportunistic cooperative control mechanism based on selectivity of time domain and frequency domain (OCC-TFD) was proposed for improving the performance of wireless sensor networks. Finally, the mathematical results demonstrated that the proposed platform and scheme can provide reliable, robust, and efficient data communication services of wireless sensor networks.
The opportunistic network is composed of the nodes with self-organized data transmission without maintaining the transmission path between the sender and destination nodes, which give full consideration to the dynamic characteristics  of the network topology. However, in the cooperative communications , the sensors cannot provide the reliable and real-time performance of remote, long-time, and large amount of data because of the interference restrictions such as power source, hardware equipment noise , and unknown environment factor . Specially, the data stream has the following features. There are the different requirements of data stream structure for data storage , data processing, and transmission. The user requirements have the diversity, and the network state is the dynamic change. So, the previous static opportunistic network algorithm , data stream computing method, and fixed cooperation transmission method of cooperative communication algorithm have been unable to satisfy the diversity of data stream application over wireless sensor networks. Consequently, how to combine the opportunity network technology and cooperative communication technology has been the widespread concern in academia and industry, which should consider the network topology and data stream characteristics and establishment of cooperative control mechanism.
On the one hand, based on the independent and non-identically distributed Nakagami-m fading channels, Yuan et al.  researched the dual-hop wireless cooperative network with opportunistic amplify-and-forward relaying algorithm. Shi et al.  proposed the multi-user cooperative communication protocol for selecting the relay node and improving the system throughput, based on the opportunistic communication and network coding. Based on the opportunistic analysis of a broader class of networks, the new opportunistic methods for several network geometries was proposed . The low overhead multi-relay selection protocol was proposed to support multi-stream cooperative communications in . Then, the diversity-multiplexing tradeoff and the throughput-reliability tradeoff were discussed. According to the issue of opportunistic data transfer with mobile ad hoc networks, the cooperative opportunistic routing in mobile ad hoc networks was proposed by Wang et al.  which is a pure network layer scheme.
On the other hand, Wu et al.  proposed the use of smartphones to collect data from sensor nodes opportunistically, by accessing data from a wireless sensor network and over the generation of data through participatory sensing. A single-hop wireless sensor network was researched over the sensor nodes and the controller node which have multiple antennas . The information theoretical criterion for opportunistic sensing was proposed by Liang et al. , which proved that wireless heterogeneous sensor network with correlated modalities needs less number of code words than that with independent modalities. The homeland defense use case for opportunistic networks was simulated , which involves detecting a suspicious watercraft. The drawback with the current short-range neighbor discovery technology was discussed in opportunistic networks . The dynamic cooperative routing was proposed , which could modify equip with an adaptive decision-making mechanism.
The rest of this paper is organized as follows. Section 2 gives the definition of opportunistic cooperation platform. Section 3 gives the selective characteristics of time and frequency domain. Section 4 gives the cooperative control algorithm. Section 5 studied and evaluated the performance of the proposed platform and scheme to prove the validity and feasibility of the proposed algorithm. Finally, the conclusion is made in Section 6.
2 Opportunity cooperation platform
Let M denote the relay sensors set of wireless sensor networks. T is the qualitative parameter set of cooperative data stream X. When X belongs to M and T is random mapping, the determining degree f(x) belongs to the interval [0, 1], which is a random number with a stable trend. Hence, opportunity cooperation platform M(X) is defined as the distribution of X on M.
Here, let h(F i , T) denote the analysis function of data packets with the qualitative parameters. Let φ(T p , f(F i )h(F i , T), U r ) denote the combination of the above analysis results and user demand. Specially, combination of the determined degree f(F i) of data packets and qualitative analysis h(F i, T) could make the user mapping opportunistic data stream accurate.
Here, L X is the data packet number of X.
Passive tag means that the wireless sensor networks upload the cooperative data stream and adaptive mark some opportunistic cooperative nodes with the establishment of cooperative transport service session.
Active on-demand service is to provide the cooperative data transmission services of a sender and a receiver based on user needs of active wireless sensor networks.
Opportunity cooperative communication with data streaming.
Reliability of cooperative communication means that with high reliability, real-time and robust data streaming service would be provided for users.
3 Performance study of cooperation communication based on selectivity of time domain and frequency domain
In the cooperative communication of wireless sensor networks, the receiver could obtain the direct path signal and cooperative path signal with different relay nodes. We researched and studied the performance of cooperation communication with single relay, multiple relay, frequency domain, and time domain.
When f is 0.5 Hz and time is 0.5 s, the signal phase changed. Here, the synthetic signal is superior to the direct path signal with lower cooperative path signal and less phase change.
When f is 1 Hz and time is 0.5 s, the receiving signal reached the trough and the synthesized signal is always greater than the direct path signal and the synthetic signal when f is 0.5.
When f is 2 Hz and time is 0.5 s, the signal reached the peak. Here, the cooperative path signal and the changing frequency are larger than one with f is 1 Hz.
When f is 10 Hz, the synthetic signal is larger than the above three schemes. The three signals are always keeping a stable trend.
Negative cooperative frequency domain when f belongs to the interval [0.5, 10] Hz. Here, the synthetic signal could be enhanced by increasing the frequency. In addition, decreasing frequency could smooth the phase change of the cooperative path signal.
Active cooperative frequency domain when f is larger than 10 Hz, which not only can enhance the synthesized signal significantly but also can smooth the phase change of the cooperative signal completely.
Specially, if the synthesized signal intensity cannot satisfy the user needs or provide reliable transmission for data communications, then it is transferred to the multi-relay scheme.
When f is 0.5 Hz and time is 0.5 s, the signal phase changed. Here, the cooperative path signal has to be enhanced for obtaining the better synthetic signal.
When f is 1 Hz and time is 0.5 s, the signal reached wave trough.
When f is 2 Hz, the phase change is two times one with f is 1 Hz. Specially, the synthetic signal is smaller than the above schemes.
When f is 10 Hz, the synthetic signal is larger than the above three schemes, which is superior to the signal with single-relay scheme.
Negative cooperative frequency domain when f belongs to the interval [0.5, 10] Hz. Here, the synthetic signal could be larger than the direct path signal by decreasing the frequency. In addition, decreasing frequency could smooth the phase change of cooperative path signal.
Active cooperative frequency domain when f is larger than 10 Hz, which is similar to the single-relay scheme.
In order to strengthen the intensity of the synthesized signal, the relay nodes with the large angle arc should be chosen to cooperate in the frequency domain. The positive frequency domain does not affect.
When f is 0.5 Hz and time belongs to interval [0, 3], the synthetic signal is larger than direct path signal and cooperative path signal. So, the relay nodes should be active for cooperation transmission. However, in interval [3, 5], the synthetic signal is less than the cooperative path signal. Here, the transmission wasted the cooperation gain. So, the relay nodes should be negative for saving relay resources and improving utilization ratio. Similarly, we can obtain the active or negative time interval when f is 1, 1.5, 2, 2.5, and 100 Hz.
When f is 1 Hz, interval [0, 1.5] s is the active cooperative domain. Then, interval [1.5, 3.5] s is the negative cooperative domain. The interval [3.5, 5] s is the active cooperative domain.
When f is 1.5 Hz, interval [0, 1] s is the active cooperative domain. Then, interval [1.5, 2] s is the negative cooperative domain. The interval [2.5, 3] s is the active cooperative domain. The interval [3.5, 5] s is negative cooperative domain.
When f is 2 Hz, interval [0, 1] s is the active cooperative domain. Then, interval [1, 1.5] s is the negative cooperative domain. The interval [1.5, 3] s is the active cooperative domain. The interval [3.5, 5] s is negative cooperative domain.
When f is 2.5 Hz, interval [0, 1] s is the active cooperative domain. Then, interval [1, 1.5] s is the negative cooperative domain. The interval [1.5, 2.5] s is the active cooperative domain. The interval [2.5, 5] s is negative cooperative domain.
When f is 100 Hz, the full time domain is the active cooperative domain.
According to the different frequency values, the active cooperative time domain and the negative cooperative time domain are defined, for obtaining the effective gain and the maximum resource utilization.
When f is 1.5 Hz, interval [0, 1] s is the active cooperative domain. Then, interval [1, 2] s is the negative cooperative domain.
When f is 2.5 Hz, interval [0, 0.3] s is the negative cooperative domain. Then, interval [0.3, 0.7] s is the active cooperative domain. The interval [0.7, 1.3] s is the negative cooperative domain. The interval [1.3, 2] s is active cooperative domain.
When f is 10 Hz, the full time domain is the active cooperative domain. In addition, there are phase changes.
When f is 100 Hz, the full time domain is the active cooperative domain and the signal phase keeps stable.
In summary, the multiple relay and single relay are the same, but the specific time interval is different. The specific time domain must be determined by real-time analysis.
4 Cooperative control mechanism
Here, E N is the Gaussian expectations. Let d denote the distance between the sender and the receiver.
The value of energy efficiency could be obtained by Eq. (10). Here, assume that E S and E R are the energy of sending, receiving, or transferring the cooperative data stream. Let E system denote the system energy consumption.
Here, T is the average transmission delay of single datagram.
5 Performance evaluation and results
In this section, the proposed opportunity cooperative platform and control mechanism based on selectivity of time domain and frequency domain (OCC-TFD), opportunity cooperative control mechanism based on selectivity of time domain (OCC-TD), opportunity cooperative control mechanism based on selectivity of frequency domain (OCC-FD), and cooperative control scheme based on the optimal power allocation and signal to noise (CC-OPAS) for wireless sensor networks are simulated, analyzed, and evaluated with two group experiments, which include the following metrics: signal, packet error rate, average delivery delay, throughput, and energy efficiency.
From Fig. 11b, throughput of the proposed OCC-TFD presented the positive upward trend and reached the maximum value when SNR is large to 8 dB. Although the CC-OPAS could increase the throughput, the trend is negative. Throughput of CC-OPAS reached the maximum value just only when SNR is large to 16 dB, which is 2 times the proposed OCC-TFD. That because the time complexity and space complexity of the optimization process of power allocation result in the decrease of the system efficiency, which can affect the increase of the throughput.
As shown in Fig. 11c, energy efficiency of the proposed OCC-TFD is four times one of the CC-OPAS, which showed a rising trend with the improvement of the SNR. When the SNR is 9 dB, the energy efficiency of OCC-TFD reached 80 %, but that of CC-OPAS is just 10 % which cannot provide reliable guarantee of long time data transmission. The proposed OCC-TFD can establish the optimal cooperative transmission collection according to the time and frequency selective characteristics of transmitter and relay nodes, to improve resource utilization and reduce energy consumption.
According to the cooperative data packet redundancy degree, the priority, and selective characteristics of time domain and frequency domain, we proposed the opportunistic cooperative platform and adaptive cooperative control scheme for wireless sensor networks. Based on the cooperative data stream scale, mapping scheme of data stream to users, and priority and redundancy of cooperative data packets, we defined the opportunistic cooperative platform. Then, we researched the selective characteristics of the time and frequency domains and presented the active domain and negative domain, with the single relay, multiple relay, and static and mobile network environment, which was used to adjust and improve the defined opportunistic cooperative platform. Therefore, we proposed the OCC-TFD to provide service guarantee of users in wireless sensor networks. The mathematical results indicated that the proposed platform and scheme are superior to the opportunity cooperative control mechanism based on selectivity of time domain alone and frequency domain alone, as well as cooperative control scheme based on the optimal power allocation and signal to noise, in terms of packet error rate, delay, and throughput, as well as energy efficiency.
This work is supported in part by the Science and Technology Development Project of Changshu (Social Development category) Grant No. CS201413, National Natural Science Foundation of China Grant No. 61300186, and Project of Jiangsu Province University Natural Science Grant No. 13KJB510001.
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