An Efficient Decentralized Rekeying Scheme to Secure Hierarchical Geographic Multicast Routing in Wireless Sensor Networks

Author(s):  
Prithu Banerjee ◽  
Mahasweta Mitra ◽  
Ferdous A. Barbhuiya ◽  
Sandip Chakraborty ◽  
Sukumar Nandi
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.


2014 ◽  
Vol 599-601 ◽  
pp. 851-855
Author(s):  
Zhen Yu Zhang ◽  
Shao Jie Wen ◽  
Wen Zhong Yang

Energy-efficient is one of the main problems among all the problems in mobile wireless sensor networks, for improving the energy efficiency of the nodes in the multicast environment and complete the communication works with the minimum cost, we present a based on energy-efficient opportunistic multicast routing for mobile wireless sensor networks. In order to increase the reliability of links, we use opportunistic routing and collaboration mechanism to realize the routing method, and then use the path aggregation to reduce the energy consumption of the whole network. The results of simulation show that, the method presented in this paper is effective in reducing the consumption of links cost.


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