Workflow Management Systems in MANETs

Author(s):  
F. Rosa

The widespread availability of network-enabled handheld devices (e.g., PDAs with WiFi) has made pervasive computing environment development an emerging reality. Mobile (or multi-hop) Ad-hoc NETworks (MANETs-Agrawal & Zeng, 2003) are mobile device networks communicating via wireless links without relying on an underlying infrastructure. Each device in a MANET acts as an endpoint and as a router forwarding messages to devices within radio range. MANETs are a sound alternative to infrastructure-based networks whenever the infrastructure is lacking or unusable, for example, military applications, disaster/relief, emergency situations, and communication between vehicles.

Author(s):  
Sasirekha GVK ◽  
Jyotsna Bapat

Ad hoc networks are infrastructure less networks which are self organizing and adaptive. Such networks can be used in emergency situations like disaster management and military applications. Usage of cognitive radios as the wireless terminals in ad hoc networks in emergency situations has distinct advantages. Better bandwidth, interoperability, avoidance of interference, and ant-jamming capabilities are a few such advantages. Ad hoc networks with cognitive radios are wireless terminals used in emergency situations and can be referred to as Emergency Cognitive Radio Ad Hoc Networks (Emergency CRAHNs). In this chapter, the authors discuss emergency CRAHNs and the specific requirements that must be met by the spectrum sensing mechanism used by them. In particular, the authors discuss collaborative spectrum sensing methodology; where in multiple cognitive radios operate together such that reliability of spectrum sensing in improved. This collaborative sensing in ad hoc networks can be either of centralized or distributed architectures, both of which are discussed in this chapter.


2013 ◽  
pp. 944-960
Author(s):  
Sasirekha GVK ◽  
Jyotsna Bapat

Ad hoc networks are infrastructure less networks which are self organizing and adaptive. Such networks can be used in emergency situations like disaster management and military applications. Usage of cognitive radios as the wireless terminals in ad hoc networks in emergency situations has distinct advantages. Better bandwidth, interoperability, avoidance of interference, and ant-jamming capabilities are a few such advantages. Ad hoc networks with cognitive radios are wireless terminals used in emergency situations and can be referred to as Emergency Cognitive Radio Ad Hoc Networks (Emergency CRAHNs). In this chapter, the authors discuss emergency CRAHNs and the specific requirements that must be met by the spectrum sensing mechanism used by them. In particular, the authors discuss collaborative spectrum sensing methodology; where in multiple cognitive radios operate together such that reliability of spectrum sensing in improved. This collaborative sensing in ad hoc networks can be either of centralized or distributed architectures, both of which are discussed in this chapter.


Author(s):  
Rahul M Desai ◽  
B P Patil

Ad Hoc Networks are infrastructure less network in which nodes are connected by Multi-hop wireless links. Each node is acting as a router as it supports distributed routing. Routing challenges occurs as there are frequent path breaks due to the mobility. Various application domains include military applications, emergency search and rescue operations and collaborative computing. The existing protocols used are divided into proactive and on demand routing protocols. The various new routing algorithms are also designed to optimize the performance of a network in terms of various performance parameters. Dual reinforcement routing is learning based approach used for routing. This paper describes the implementation, mathematical evaluation and judging the performance of a network and analyze it to find the performance of a network.


Author(s):  
Lesly Maygua-Marcillo ◽  
Luis Urquiza-Aguiar ◽  
Martha Paredes-Paredes

Network Simulators (NS) is typically used to study services and applications in complex scenarios due to the infeasibility of deploying real testbeds. This is the case of Mobile Ad hoc Networks (MANETs) which can be extensively used in emergency situations or to gather information without infraestructure. An important factor to get realiable results in the MANETs’ simulations is the wireless channel module of NSs. In this report, we explain how thw wireless channel is implemented in NS-3 and it can be configured.


Author(s):  
Frédéric Guidec ◽  
Nicolas Le Sommer ◽  
Yves Mahéo

This paper presents a middleware platform allowing the dissemination of software components on handheld devices forming a disconnected MANET. It is based on a model that exploits peer-to-peer and opportunistic interactions between neighboring devices to deploy component-based applications, without relying on any kind of infrastructure network. Each device runs a deployment manager, which strive to fill a local component repository with software components so as to be able to satisfy the deployment requests expressed by the user. To do so the deployment manager interacts with peer managers located on neighboring devices, providing its neighbors with copies of software components it owns locally, while obtaining itself from these neighbors copies of components it lacks. The platform also provides communication facilities adapted to disconnected MANETs that notably allow efficient multi-hop exchanges.


Mobile ad hoc networks are gaining high importance in present days due to many civilian applications apart from regular military applications. Networks usually are designed using fixed infrastructure. Wherever fixed networks are not feasible, ad hoc network serve the purpose. Routing plays an important role in packet transmission, Multicast routing protocols designed for data transfer should consider both bandwidth and energy of the node. Many Ant colony Optimization (ACO) based routing approaches are proposed by researchers. In this paper three popular ACO based routing protocols ANTCHAIN, ANTALG and EMRP-AIPUR are compared using NS2 simulator. The results obtained show that EMRP-AIPUR shows better performance when compared to the other two protocols


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