## 5 Conclusions  
Concerning society versus telecommunications technology, sensor networks create significant opportunities for the specialized lifestyle sector. This segment is experiencing rapid growth and change in its needs and can take advantage of technological innovations to offer more value and develop more products that generate value for consumers. From the home to commercial chains, they can improve the user experience thanks to a greater use of technology, which is efficiently and effectively achieved by the constant control and monitoring of people, preserving their independence and privacy, and taking care of their lifestyle. The proposal's objective is to improve the quality of life of older adults who live independently, preventing problems or deterioration in health. The key for technologies to penetrate the market for the elderly is to offer them attractive services with well-known functionality capable of arousing their interest, and getting manufacturers, promoters, and service providers to invest in this market. In other words, it is necessary to sell services, not technology, transmitting its benefits to the user at all times. We found that the impact of well-being is more significant with the presence of the network and that this also influences the person's perception when they feel watched by the network. The four vital sign variables give a good insight into a person's feelings of well-being and safety in different home areas. It is an excellent experiment to generate independence and confidence in older adults and propose a low-cost network to prevent accidents at home. In this work, we performed experiments in homes for older adults who want to remain independent, using non-invasive technological monitoring. We have performed tests implementing a network of non-invasive sensors with measurement parameters such as level, luminosity, motion, pressure/humidity/temperature, air quality, and movement of doors and/or windows. For our experiments, we considered healthy people who do not suffer from cardiovascular or respiratory conditions. We measured four variables in people: heart and respiratory rates, body temperature, and sleep rhythm. In addition, we proposed a energy optimization algorithm network based on clustering, taking advantage of the person's frequent location to prioritize sensors and take full advantage of the proactive and reactive nature of the packet routing protocol. We have found that people feel more comfortable and/or calm when the sensor network is active in their homes. We have \begin{table}
\begin{tabular}{l l l l l} \hline
**ID Person** & **Effectiveness** & **Efficiency** & **Satisfaction** & **Learability** \\ \hline
16 & ✓ & \(\times\) & ✓ & ✓ \\
17 & ✓ & ✓ & ✓ & \(\times\) \\
18 & ✓ & ✓ & \(\times\) & \(\times\) \\
19 & ✓ & ✓ & ✓ & \(\times\) \\
20 & ✓ & \(\times\) & ✓ & \(\times\) \\
21 & ✓ & ✓ & ✓ & \(\times\) \\
22 & ✓ & ✓ & ✓ & \(\times\) \\
23 & ✓ & ✓ & ✓ & ✓ \\
24 & ✓ & ✓ & ✓ & \(\times\) \\
25 & \(\times\) & ✓ & ✓ & \(\times\) \\
26 & ✓ & ✓ & ✓ & \(\times\) \\
27 & ✓ & ✓ & ✓ & \(\times\) \\
28 & ✓ & ✓ & ✓ & \(\times\) \\
29 & ✓ & ✓ & ✓ & \(\times\) \\
30 & ✓ & ✓ & ✓ & \(\times\) \\
31 & \(\times\) & ✓ & ✓ & \(\times\) \\
32 & ✓ & ✓ & ✓ & ✓ \\
33 & ✓ & ✓ & ✓ & ✓ \\
34 & ✓ & ✓ & ✓ & \(\times\) \\
35 & ✓ & ✓ & ✓ & ✓ \\
36 & ✓ & ✓ & ✓ & \(\times\) \\
37 & ✓ & ✓ & ✓ & \(\times\) \\
38 & ✓ & ✓ & ✓ & ✓ \\
39 & ✓ & ✓ & ✓ & \(\times\) \\
40 & ✓ & ✓ & ✓ & \(\times\) \\ \hline \end{tabular}
\end{table} 
Table 17: _Cont._classified our sample according to the appreciation of the network in men and women separately to analyze the network's influence on their states of calm. The statistical association between the monitored values for \"heart rate\" for men before and after installing sensors is slightly negative. Nevertheless, for females, the statistic association is a strong positive. The statistical association between the monitored values for \"sleep rhythm\" for both men and women before and after installing sensors is strongly negative.