Geographic opportunistic routing protocol based on two-hop information for wireless sensor networks

Author(s):  
K.R. Venugopal ◽  
N.A. Venkatesh ◽  
L. Akshay Achar ◽  
P. Kushal
Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3887 ◽  
Author(s):  
Deep Kumar Bangotra ◽  
Yashwant Singh ◽  
Arvind Selwal ◽  
Nagesh Kumar ◽  
Pradeep Kumar Singh ◽  
...  

The lifetime of a node in wireless sensor networks (WSN) is directly responsible for the longevity of the wireless network. The routing of packets is the most energy-consuming activity for a sensor node. Thus, finding an energy-efficient routing strategy for transmission of packets becomes of utmost importance. The opportunistic routing (OR) protocol is one of the new routing protocol that promises reliability and energy efficiency during transmission of packets in wireless sensor networks (WSN). In this paper, we propose an intelligent opportunistic routing protocol (IOP) using a machine learning technique, to select a relay node from the list of potential forwarder nodes to achieve energy efficiency and reliability in the network. The proposed approach might have applications including e-healthcare services. As the proposed method might achieve reliability in the network because it can connect several healthcare network devices in a better way and good healthcare services might be offered. In addition to this, the proposed method saves energy, therefore, it helps the remote patient to connect with healthcare services for a longer duration with the integration of IoT services.


2014 ◽  
Vol 610 ◽  
pp. 797-807
Author(s):  
Zhen Yu Zhang ◽  
Shao Jie Wen ◽  
Wen Zhong Yang ◽  
Fei Zhao

The paper presents energy-efficiency opportunistic multicast routing protocol (EOMR) for the multicast energy consumption minimization problem in wireless sensor networks. The protocol divides the network into single grids, so each node determines their own coordinates according to the grid, which they locate in a certain period of time. The nodes only need to know the topology of their own grid, instead of the topology of the entire network. Nodes in the same grid determine the priority in light of the upstream and downstream links metrics, and use the opportunistic routing to send messages to the next hop. The destinations calculate the optimal path in accordance with the hops and links cost, and transmission acknowledgement to source along the optimal path selected. If all nodes in the current grid transmission messages failure, the neighbor grids are in charge of retransmission. The results of simulation show that, compared with traditional multicast routing, EOMR is effective in reducing the consumption of links cost, so that it improves the link reliability and reduces the delay.


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