Rssilqi based transmission power control for body area networks in healthcare environment zebros iee

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RSSI/LQI-BASED TRANSMISSION POWER CONTROL FOR BODY AREA NETWORKS IN HEALTHCARE ENVIRONMENT

ABSTRACT This system presents a novel transmission power control protocol for body area networks. Conventional transmission power control protocols adjust the transmission power on the basis of the received signal strength indication (RSSI). However, in the case of presence of interference, the RSSI is not a correct indicator to determine the link state. We first present empirical evidence for this and then propose a practical protocol to discriminate between the signal attenuation and interference using the RSSI and link quality indication. This protocol controls the transmission power and avoids interference based on the link state. Finally, we discuss the implementation of the proposed protocol on Tmote Sky and evaluate the performance in the presence and absence of interference. The experimental results showed that the proposed protocol has high energy efficiency and reliability, even in the presence of interference.

EXISTING SYSTEM Numerous approaches to BANs have been studied to reduce energy waste and delay and to increase reliability. At the data link layer, the first typical approach is a medium access control (MAC) protocol. The sensor nodes can reduce energy waste by using intelligent MAC protocols, which generally decrease their duty cycle. Most of Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS these have been studied to determine the proper time to turn ON the radio. Another approach is a transmission power control technique that selects the output power when the radio is turned ON. Table I describes the energy consumption according to the transmission power at CC2420. The energy consumption values show large gaps between the transmission power levels. These transmission powers have a tradeoff between energy efficiency and reliability. Therefore, a proper transmission power should be decided according to the network conditions. Transmission power control is not a novel issue. Numerous transmission power control protocols have previously been studied in wireless sensor networks (WSNs). These can be classified into four solutions: a network-level solution, node-level solution, neighbor-level solution, and packet-level solution. The network-level solution uses a single fixed transmission power for the entire network, while the node-level solution uses a different transmission power for each node. In the neighbor-level solution, each node uses different transmission powers for different neighbors. These solutions are suitable for an invariable link condition, but are unsuitable for a variable link condition. The packet-level solution changes the transmission power of each node in response to feedback information from packets. Thus, this solution is appropriate for the variable link condition. WSNs and BANs have different environmental characteristics. The most prominent difference is mobility. All of the nodes in a BAN can move together when the human moves and each node belonging to the BAN can move independently on the basis of the body posture. This mobility can lead to changes in the link quality from signal attenuation or interference. There have been several conventional transmission power control protocols for BANs. Most of these were based on a packet-level solution and used the received signal strength indication (RSSI) as a reference to determine the link quality. However, this approach still has poor performance when interference exists. Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


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DESCRIPTION In this system, we propose a practical transmission power control protocol for BANs. There are three primary contributions. The first contribution is a presentation of the effect of interference on a BAN’s link based on real experimental results. The results showed that the conventional transmission power control protocols are inappropriate for a BAN in a case where interference is present. As the second contribution, we propose an RSSI/LQI-based transmission power control (RL-TPC) protocol. It distinguishes between the signal attenuation and interference using the RSSI and link quality indication (LQI). In a case where no interference exists in the link, it controls the transmission power to maintain the RSSI within the dynamically defined range. Otherwise, it changes the current channel to avoid interference. The last contribution is an evaluation of the performance of this RL-TPC protocol implemented on a real sensor node. We proved that the RL-TPC protocol is more energy efficient and reliable than the conventional RSSI-based transmission power control protocol. This proposed an adaptive transmission power control (ATPC) that uses RSSI to decide the link state. It focuses on the correlation between the transmission power and link quality based on spatial–temporal factors determined by empirical experiments. Through this empirical evidence, the ATPC determines an appropriate equation and then uses it to select the transmission power. This predictive model shows high Office Address: No 4 / Flat No 3D, Sai Kiran Apts, First Main Road, Kasturba Nagar, Chennai-20 web: www.zebros.in e mail : zebrosprojects@gmail.com mob: 99400 98300


ZEBROS PROJECTS performance to decide the transmission power in a static environment. However, the predictive model cannot be used in BANs that is a dynamic environment. LQI is a value introduced in IEEE 802.15.4 that measures the quality or error of a successfully received packet. CC2420 provides LQI based on the first eight symbols following the start of the frame delimiter for each incoming packet. LQI is an unsigned 7-bit value appended to the frame check sequence of each received packet. It is usually between 50 and 110, indicating the minimum and maximum quality, respectively. Because LQI has higher variance than RSSI, it is a less accurate indicator for the PRR than RSSI. Hence, we average over many LQIs to determine an accurate link quality ADVANTAGE 

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Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture 2nd Review

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