# Validation of Wired and Wireless Interconnected Body Sensor Networks
## 6 Conclusions and Future Work  
The DigiAID, an open and cost-effective experimental platform for monitoring the human health conditions is compared with commercially available product called as Hexoskin. We showed the viability of DigiAID through extensive real measurements during daily activities by both male and females. The comparison between DigiAID and Hexoskin highlighted the areas where different sensors did not perform optimally. It was also revealed that wired nature of the system was also a hurdle in monitoring properly.  
Furthermore, the proposed work presents the characterization of wireless DigiAID in WBSNs. Understanding the impact of body movements on packet reception and power consumption is of great importance. As far as topology is concerned, for maximum power most of the time packets utilize single-hop and usage of minimum power results in multi-hop transmission. Hopping behavior is also affected due to movements of human body. With multi-hopping if nodes are following longer routes, delay, path loss and data corruption may be experienced. It is concluded that maximum transmit power is achieved with around 100% reliability, but at the same time it reduces battery life. While minimum power gives efficient utilization of battery, but this result in poor packet reception too. This highlights the need of an energy efficient algorithm to minimize these problems. Accordingly, a dynamic power control algorithm is proposed, which controls the selection of transmit power from received PRR values. The results show an energy efficiency by reducing energy utilization with minimum of 3% and maximum of 90% while maintaining the good packet reception rate.  
In future, we aim at conducting experiments that cover critical health situations, which can be effectively achieved using simulated patients. Given that field trials on real patients are hard to achieve, we are cooperating with first response groups to gain access to real patient data to validate our experimental platform. In addition, we aim at coping with inaccuracies in measurements due to either sensor or sensor placement errors as learnt from our first set of experiments. In future, we also aim to work on behavior of IEEE 802.15.6 in regular body movements.  
Conceptualization, F.K.S.; Methodology, F.K.S. and E.F.; Validation, A.T. and N.B.; Formal Analysis, A.T.; Resources, F.K.S. and E.F.; Data Curation, A.T. and N.B.; Writing-Original Draft Preparation, A.T. and F.K.S.; Writing-Review & Editing, E.F., A.K. and M.M.A.; Visualization, A.T.; Supervision, F.K.S.; Project Administration, E.F. and A.K.; Funding Acquisition, E.F.  
Figure 27: Average TX power consumption while sleeping activity.  
**Funding:** This work is partially supported by grant number 10-INF1236-10 from the Long-Term National Plan for Science, Technology and Innovation (LTNPSTI), the King Abdul-Aziz City for Science and Technology (KACST), Kingdom of Saudi Arabia.  
**Acknowledgments:** We thank the Science and Technology Unit at Umm Al-Qura University, Makkah, KSA and Department of Telecommunication Engineering at Mehran University of Engineering & Technology, Jamshoro, Pakistan for their continued logistics support.  
**Conflicts of Interest:** The authors declare no conflict of interest.