The Adaptive Path Selection Mechanism for Solar-Powered Wireless Sensor Networks

2014 ◽  
Vol 81 (3) ◽  
pp. 1289-1301 ◽  
Author(s):  
Gwo-Jiun Horng ◽  
Hsin-Te Wu
2017 ◽  
Vol 13 (04) ◽  
pp. 45 ◽  
Author(s):  
Liping LV

<p class="0abstract"><span lang="EN-US">Wireless sensor network is a new field of computer science and technology research. It has a very broad application prospects. In order to improve the network survival time, it is very important to design efficient energy-constrained routing protocols. In this paper, we studied the characteristics of wireless sensor networks, and analyzed the design criteria of sensor network routing algorithms. In view of the shortcomings of traditional algorithms, we proposed an energy-aware multi-path algorithm. When selecting a data transmission path, the energy-aware multi-path algorithm can avoid nodes with low energy levels. At the same time, it takes the remaining energy of the node and the number of hops as one of the measures of the path selection. The multi-path routing algorithm realized the low energy consumption of the data transmission path, thus effectively prolonging the network lifetime. Compared with the traditional algorithm, the results show that our method has high reliability and energy efficiency.</span></p>


2017 ◽  
Vol 10 (34) ◽  
pp. 1-6
Author(s):  
R. Deepthi ◽  
D. Sai Eswari ◽  
Afreen Rafiq ◽  
K. Srinivas ◽  
◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 127142-127155
Author(s):  
Seok Hyun Cheong ◽  
Minjae Kang ◽  
Younghyun Kim ◽  
Minho Park ◽  
Jinho Park ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Vinay Kumar Singh ◽  
Vidushi Sharma

Wireless sensor networks have gained worldwide attention in recent years due to the advances made in wireless communication. Unequal energy dissipation causes the nodes to fail. The factors causing the unequal energy dissipation are, firstly, the distance between the nodes and base station and, secondly, the distance between the nodes themselves. Using traditional methods, it is difficult to obtain the high precision of solution as the problem is NP hard. The routing in wireless networks is a combinatorial optimization problem; hence, genetic algorithms can provide optimized solution to energy efficient shortest path. The proposed algorithm has its inherent advantage that it keeps the elite solutions in the next generation so as to quickly converge towards the global optima also during path selection; it takes into account the energy balance of the network, so that the life time of the network can be prolonged. The results show that the algorithm is efficient for finding the optimal energy constrained route as they can converge faster than other traditional methods used for combinatorial optimization problems.


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