A Reliable Routing Algorithm Based on Fuzzy Applicability of F sets in MANET

Hu, Rong; Hu, Zhigang; Ma, Hui

doi:10.1109/prdc.2005.13

Cited by 4 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors in another reference work (Hu, Hu & Ma, 2005) make use of fuzzy applicability to assess the degree of reachability between adjacent nodes in a MANET. For each node, two sets of information are generated, referred to as the Immediate Reachable Set (IRS) and the Reachable Set (RS).…”

Section: Related Workmentioning

confidence: 99%

A Mobility-Based Routing Protocol for CR Enabled Mobile Ad Hoc Networks

Sun

Bai

Zhang

et al. 2015

International Journal of Wireless Networks and Broadband Technologies

View full text Add to dashboard Cite

With the fast development of hardware and chipset functionality and capability, smart devices equipped with advanced technologies, such as Cognitive Radio (CR) will offer promising opportunities for mobile network. The authors in this work design a mobility based routing protocol (CRMBR) which operates in CR enabled Mobile Ad hoc Networks (MANETs). The adopted cross layer structure transfers the cognitive sensing data, such as channel quality and available bandwidth, from Physical layer up to MAC/Network layers periodically. Network layer uses such information for executing route selection algorithm while MAC layer runs the sub-channel scheduling algorithm based on CR data before each transmission. CRMBR further employs an advanced acknowledgment scheme in MAC layer for sub-channel selection to reduce the control overhead while forwarding data in MANETs. The performance of CRMBR is investigated via simulations on OpNET platform and the results confirm its favorable operation within CR MANET environments compared to two classic routing protocols in Ad hot networks: AODV and DSR.

show abstract

Section: Related Workmentioning

confidence: 99%

A Mobility-Based Routing Protocol for CR Enabled Mobile Ad Hoc Networks

Sun

Bai

Zhang

et al. 2015

International Journal of Wireless Networks and Broadband Technologies

View full text Add to dashboard Cite

show abstract

“…Whenever an event is identified in WSN, the structure of the source node is announced by itself to all the sink nodes which are connected particularly to it base (Rong et al, 2005). This makes the sink node to propagate awareness for whole event and to utilize the resources, querying the availability, node transmission, mobility ratio, packet base aspect.…”

Section: Source Oriented Approach In Wsnmentioning

confidence: 99%

“…This enables sensors to Science Publications AJAS direct their sensed information towards sink (Rong et al, 2005;Ruyan et al, 2010;Yong-Chang and Gang, 2008). Sink oriented approaches require periodic location updates to keep sources aware about its information (Yong-Chang and Gang, 2008).…”

Section: Sink Oriented Approach In Wsnmentioning

confidence: 99%

“…In traditional wireless communication model ranges very large scale in energy consumption and high complexity to route the packets (Rong et al, 2005;Visu et al, 2012;Sedighizadeh and Masehian, 2009;Sombuntham and Kachitvichayanukul, 2010;Ruyan et al, 2010;Guo and Jia, 2012). In recent development in wireless communication which yields the sensor node to develop for multi-function (Arif and Rani, 2012) largely in sense of mobility patterns, random mobility, Probabilistic mobility, Controlled mobility, Predictable mobility (Alfawaer et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Ffa-Context Aware Energy Efficient Routing Using Fast Reactive and Adaptive Algorithm

Rani¹

2014

American Journal of Applied Sciences

View full text Add to dashboard Cite

A vital issue of routing is how to efficiently strengthen energy consumption of the whole network and to avoid the energy-hole which leads to node failure or node death; this scenario makes the network to work improperly and leads to network death, Here we proves our hypothesis with linearity between routing and linear principles. Our proposed work effectively utilizes the adaption of Optimized particle swarm algorithm (Fast Reactive and fast adaptive algorithm) in order to solve the routing problem in wireless sensor networks to avoid the energy hole. Our approach effectively defines the node leader based on energy level and path optimization for node traversing using particle swarm which effectively utilizes the solution for problem in linearity into routing problem. Our algorithm FFA redefines the particle swarm rules which are reliable in routing strategies and adapts to the working principle. The optimization in our algorithm is to balance energy level and to withstand for its context. This study proves the accuracy using our algorithm respectively by theoretical survey and analysis with simulated results.

show abstract

“…These properties make swarm intelligence very attractive for ad-hoc wireless networks. They also render swarm intelligence suitable for a variety of other applications, apart from routing, including robotics (Robinson et al, 2002;Mussetta et al, 2004;Juang, 2004) and optimization (Rong et al, 2005;Visu et al, 2012).…”

Section: Ajasmentioning

confidence: 99%

Optimizing Localization Route Using Particle Swarm-a Genetic Approach

Lakshmanan¹,

Tomar²

2014

American Journal of Applied Sciences

View full text Add to dashboard Cite

One of the most key problems in wireless sensor networks is finding optimal algorithms for sending packets from source node to destination node. Several algorithms exist in literature, since some are in vital role other may not. Since WSN focus on low power consumption during packet transmission and receiving, finally we adopt by merging swarm particle based algorithm with genetic approach. Initially we order the nodes based on their energy criterion and then focusing towards node path; this can be done using Proactive route algorithm for finding optimal path between Source-Destination (S-D) nodes. Fast processing and pre traversal can be done using selective flooding approach and results are in genetic. We have improved our results with high accuracy and optimality in rendering routes.

show abstract

A Reliable Routing Algorithm Based on Fuzzy Applicability of F sets in MANET

Cited by 4 publications

References 9 publications

A Mobility-Based Routing Protocol for CR Enabled Mobile Ad Hoc Networks

A Mobility-Based Routing Protocol for CR Enabled Mobile Ad Hoc Networks

Ffa-Context Aware Energy Efficient Routing Using Fast Reactive and Adaptive Algorithm

Optimizing Localization Route Using Particle Swarm-a Genetic Approach

Contact Info

Product

Resources

About