Green Routing Algorithm for Wireless Networks

Author(s):  
Akshay Atul Deshmukh ◽  
Mintu Jothish ◽  
K. Chandrasekaran
Author(s):  
Alex Vidigal Bastos ◽  
Cristiano M. Silva ◽  
Diogenes C. da Silva

Author(s):  
Pramita Mitra ◽  
Christian Poellabauer

Geographic Forwarding (GF) algorithms typically employ a neighbor discovery method to maintain a neighborhood table that works well only if all wireless links are symmetric. Recent experimental research has revealed that the link conditions in realistic wireless networks vary significantly from the ideal disk model and a substantial percentage of links are asymmetric. Existing GF algorithms fail to consider asymmetric links in neighbor discovery and thus discount a significant number of potentially stable routes with good one-way reliability. This paper introduces Asymmetric Geographic Forwarding (A-GF), which discovers asymmetric links in the network, evaluates them for stability (e.g., based on mobility), and uses them to obtain more efficient and shorter routes. A-GF also successfully identifies transient asymmetric links and ignores them to further improve the routing efficiency. Comparisons of A-GF to the original GF algorithm and another related symmetric routing algorithm indicate a decrease in hop count (and therefore latency) and an increase in successful route establishments, with only a small increase in overhead.


2018 ◽  
Vol 7 (3.10) ◽  
pp. 59 ◽  
Author(s):  
Ms S.Girija ◽  
Mrs S.Kayathri ◽  
Ms S.Meena

In the concurrent system, each node avails as a packet over the network depends on the length of the node. The length of the node generated through straight line routing algorithm. The cost of routing depends on the shortest path routing algorithm. The shortest path is determined by the cost of a distance from one node to another over the network. The capacity of a network is balanced and maintained by the straight routing. The traffic and cost is balanced over the network by using the algorithms.   


Author(s):  
Keyvan RahimiZadeh ◽  
Mehdi Dehghan ◽  
Seyed Ali Hosseininezhad ◽  
Abbas Dehghani

Author(s):  
Jeena Jacob I. ◽  
Ebby Darney P.

The throughput of wireless multi-channel networks are enhanced using artificial intelligence algorithm. The performance of the network may be improved while reducing the interference. This technique involves three steps namely creation of wireless environment specific model, performance optimization using the right tools and improvement of routing by selecting the performance indicators cautiously. Artificial bee colony optimization algorithm and its evaluative features positively affects communication in wireless networks. The simple behavior of bee agents in this algorithm assist in making synchronous and decentralized routing decisions. The advantages of this algorithm is evident from the MATLAB simulations. The nature inspired routing algorithm offers improved performance when compared to the existing state-of-the-art models. The simple agent model can improve the performance values of the network. The breadth first search variant is utilized for discovery and deterministic evaluation of multiple-paths in the network increasing the overall routing protocol output.


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