Topic
Fuzzy routing
About: Fuzzy routing is a research topic. Over the lifetime, 68 publications have been published within this topic receiving 678 citations.
Papers published on a yearly basis
Papers
TL;DR: Simulation results show that SIF outperforms the existing clustering-based protocols in terms of generating balanced clusters and prolonging the network lifetime, and unlike other routing protocols which have been designed for a certain application scope, the main objective of the methodology is to prolong the network Lifetime based on the application specifications.
Abstract: A fuzzy-based protocol is presented for clustered wireless sensor networks.The main objective is to form balanced clusters over the network.A hybrid swarm intelligence algorithm is utilized to optimize fuzzy rule table.Proposed routing protocol is successfully tested on 10 heterogeneous networks.Results show that our methodology outperforms the compared routing protocols. Wireless sensor networks are rapidly evolving technological platforms with tremendous applications in several domains. Since sensor nodes are battery powered and may be used in dangerous or inaccessible environments, it is difficult to replace or recharge their power supplies. Clustering is an effective approach to achieve energy efficiency in wireless sensor networks. In clustering-based routing protocols, cluster heads are selected among all sensor nodes within the network, and then clusters are formed by simply assigning each node to the nearest cluster head. The main drawback is that there is no control on the distribution of cluster heads over the network. In addition to the problem of generating unbalanced clusters, almost all routing protocols are designed for a certain application scope, and could not cover all applications. In this paper, we propose a swarm intelligence based fuzzy routing protocol (named SIF), in order to overcome the mentioned drawbacks. In SIF, fuzzy c-means clustering algorithm is utilized to cluster all sensor nodes into balanced clusters, and then appropriate cluster heads are selected via Mamdani fuzzy inference system. This strategy not only guarantees to generate balanced clusters over the network, but also has the ability to determine the precise number of clusters. In fuzzy-based routing protocols in literature, the fuzzy rule base table is defined manually, which is not optimal for all applications. Since tuning the fuzzy rules very affects on the performance of the fuzzy system, we utilize a hybrid swarm intelligence algorithm based on firefly algorithm and simulated annealing to optimize the fuzzy rule base table of SIF. The fitness function can be defined according to the application specifications. Unlike other routing protocols which have been designed for a certain application scope, the main objective of our methodology is to prolong the network lifetime based on the application specifications. In other words, SIF not only prolongs the network lifetime, but also is applicable to any kind of application. Obtained simulation results over 10 heterogeneous networks show that SIF outperforms the existing clustering-based protocols in terms of generating balanced clusters and prolonging the network lifetime.
169 citations
9 Apr 2003
TL;DR: This paper presents a novel routing scheme for ad hoc networks that applies fuzzy logic to differentiated resource allocation, considering traffic importance and network state, and is compared to dynamic source routing (DSR) and split multipath routing (SMR) wireless routing protocols.
Abstract: Routing and related resource allocation issues present special challenges in ad hoc networks Typically, every node in an ad hoc network serves as a router for other nodes, and paths from source to destination often require multiple hops Compared to wired networks, wireless ad hoc networks have less bandwidth, longer paths, and less stable connectivity, all of which render routing protocols from wired networks less suitable for the wireless world This paper presents a novel routing scheme for ad hoc networks that applies fuzzy logic to differentiated resource allocation, considering traffic importance and network state Messages are routed over zero or more maximally disjoint paths to the destination: important packets may be forwarded redundantly over multiple disjoint paths for increased reliability, while less important traffic may be suppressed at the source The performance of fuzzy routing is evaluated using simulation, and is compared to dynamic source routing (DSR) and split multipath routing (SMR) wireless routing protocols
75 citations
TL;DR: Fuzzy-logic-based energy optimized routing algorithm is proposed to achieve multiparameter, fuzzy routing decision and has achieved energy efficiency and energy balance together, compared with similar algorithms.
Abstract: Wireless sensor nodes are usually powered by batteries and deployed in unmanned outdoors or dangerous regions. So, constrained energy is a prominent feature for wireless sensor networks. Since the radio transceiver typically consumes more energies than any other hardware component on a sensor node, it is of great importance to design energy optimized routing algorithm to prolong network lifetime. In this work, based on analysis of energy consumption for data transceiver, single-hop forwarding scheme is proved to consume less energy than multihop forwarding scheme within the communication range of the source sensor or a current forwarder, using free space energy consumption model. We adopt the social welfare function to predict inequality of residual energy of neighbors after selecting different next hop nodes. Based on energy inequality, the method is designed to compute the degree of energy balance. Parameters such as degree of closeness of node to the shortest path, degree of closeness of node to Sink, and degree of energy balance are put into fuzzy logic system. Fuzzy-logic-based energy optimized routing algorithm is proposed to achieve multiparameter, fuzzy routing decision. Simulation results show that the algorithm effectively extends the network lifetime and has achieved energy efficiency and energy balance together, compared with similar algorithms.
68 citations
TL;DR: A fuzzy routing-forwarding algorithm (FCNS) exploiting comprehensive node similarity (the mobile and social similarities) in opportunistic social networks is established and the suitable message delivery decision is made by collecting and comparing the transmission preference of nodes, and the sustainable and stable data transmission process is performed through the feedback mechanism.
Abstract: At the dawn of big data and 5G networks, end-to-end communication with large amounts of data between mobile devices is difficult to be implemented through the traditional face-to-face transmission mechanism in social networks. Consequently, opportunistic social networks proposed that message applications should choose proper relay nodes to perform effective data transmission processes. At present, several routing algorithms, based on node similarity, attempt to use the contextual information related to nodes and the special relationships between them to select a suitable relay node among neighbors. However, when evaluating the similarity degree between a pair of nodes, most existing algorithms in opportunistic social networks pay attention to only a few similar factors, and even ignore the importance of mobile similarity in the data transmission process. To improve the transmission environment, this study establishes a fuzzy routing-forwarding algorithm (FCNS) exploiting comprehensive node similarity (the mobile and social similarities) in opportunistic social networks. In our proposed scheme, the transmission preference of the node is determined through the fuzzy evaluation of mobile and social similarities. The suitable message delivery decision is made by collecting and comparing the transmission preference of nodes, and the sustainable and stable data transmission process is performed through the feedback mechanism. Through simulations and the comparison of social network algorithms, the delivery ratio in the proposed algorithm is 0.85 on average, and the routing delay and network overhead of this algorithm are always the lowest.
55 citations
TL;DR: The effect of the Wormhole and black hole attack in GRP routing protocol will be investigated and diagnosing and solution is provided for this type of attack.
Abstract: An AD HOC Mobile network is a collection of nodes that can be freely, and without any network infrastructure, communicate with each other via radio frequencies. Easy implementation, establishment and infrastructureless make AD HOC network to play an important role in various area such as military, emergency, natural disasters, urban campus, etc. Nowadays, development of wireless networks, as well as, information security requirement is growing rapidly. Wireless network security is one of the most important research topics. In this work, the analyze of Gateway Routing Protocol(GRP) and security of this routing protocol is discussed. GRP is selected for this study. In the paper the effect of the Wormhole and black hole attack in GRP routing protocol will be investigated and diagnosing and solution is provided for this type of attack. GRP is a proactive protocol and uses quadrants for fuzzy routing. This controls the amount of flooding done by GRP.
34 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2021 | 2 |
| 2020 | 2 |
| 2019 | 2 |
| 2018 | 4 |
| 2017 | 6 |
| 2016 | 5 |