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The devices surrounding us become smarter and can autonomously form a network without requiring our intervention. However, our needs can be even better accommodated when the networked devices cooperate and complement each other’s capabilities. One of the initial steps towards achieving a cooperative platform of smart devices is the discovery of resources and capabilities within the network. Today’s operational service discovery protocols carry simple text-based uniform resource identifiers that are not expressive enough. Machines cannot comprehend the meaning of a new service that is not in their knowledge base. In addition to being more expressive, service discovery protocols must compensate the diversity to improve cooperation between the devices that use different application protocols and operate on different communication interfaces. In this paper, we propose the Smart Discovery Protocol (SDP) which outperforms the operational service discovery protocols with three main features: (1) more expressive semantic representation of the services, (2) operating in the network layer to deal with diversity, and (3) unifying existing service discovery protocols. SDP represents services with ontologies as some recently proposed semantic service discovery protocols. It further enhances the success of semantic representations by creating a unified platform that can carry legacy discovery services. In this respect, the novelties of SDP are as follows: firstly, it operates in the network layer and consequently abstracts both the application layer and communication interfaces. Secondly, SDP unifies the legacy service discovery protocols by integrating their simple text-based service representations in one message. The underlying transport mechanism of SDP is designed as an add-on to the Neighbor Discovery Protocol (NDP) of the IPv6 standard. The metadata is carried in the payload of ICMPv6 packets. Simple text-based representations of other service discovery protocols are em, Embedded Systems

The devices surrounding us become smarter and can autonomously form a network without requiring our intervention. However, our needs can be even better accommodated when the networked devices cooperate and complement each other’s capabilities. One of the initial steps towards achieving a cooperative platform of smart devices is the discovery of resources and capabilities within the network. Today’s operational service discovery protocols carry simple text-based uniform resource identifiers that are not expressive enough. Machines cannot comprehend the meaning of a new service that is not in their knowledge base. In addition to being more expressive, service discovery protocols must compensate the diversity to improve cooperation between the devices that use different application protocols and operate on different communication interfaces. In this paper, we propose the Smart Discovery Protocol (SDP) which outperforms the operational service discovery protocols with three main features: (1) more expressive semantic representation of the services, (2) operating in the network layer to deal with diversity, and (3) unifying existing service discovery protocols. SDP represents services with ontologies as some recently proposed semantic service discovery protocols. It further enhances the success of semantic representations by creating a unified platform that can carry legacy discovery services. In this respect, the novelties of SDP are as follows: firstly, it operates in the network layer and consequently abstracts both the application layer and communication interfaces. Secondly, SDP unifies the legacy service discovery protocols by integrating their simple text-based service representations in one message. The underlying transport mechanism of SDP is designed as an add-on to the Neighbor Discovery Protocol (NDP) of the IPv6 standard. The metadata is carried in the payload of ICMPv6 packets. Simple text-based representations of other service discovery protocols are embed, Software Computer Technology, Electrical Engineering, Mathematics and Computer Science

Wireless ad hoc networks will be an important component in future communication systems. The performance of wireless ad hoc networks can be improved by link quality-aware applications. Wireless link quality is dynamic in nature, especially in mobile scenarios. Therefore, accurate and fast packet delivery ratio estimation is a prerequisite to good performance inmobile,multi-hop andmulti-rate wireless ad hoc networks. In this paper, we propose a novel packet delivery ratio estimation method that improves the accuracy and responsiveness of the packet delivery ratio estimation. The proposed link quality estimation components are implemented in a IEEE 802.11b/g test-bed. The experiment results show that the accuracy of the packet delivery ratio estimation can improve up to 50% in mobile scenarios without introducing overhead. We also show the end-to-end performance impact of this improved estimation on route selection using different routing metrics and configurations. The measurement results show that our packet delivery ratio method leads to better route selection in the form of increased end-to-end throughput compared to traditional methods, which respond slowly to the link dynamics., Telecommunications, Electrical Engineering, Mathematics and Computer Science

In this paper, we present a visionary concept referred to as Collaborative and Cognitive Network Platforms (CCNPs) as a future-proof solution for creating a dependable, self-organizing and self-managing communication substrate for effective ICT solutions to societal problems. CCNP creates a cooperative communication platform to support critical services across a range of business sectors. CCNP is based on the personal network (PN) technology which is an inherently cooperative environment prototyped in the Dutch Freeband PNP2008 and the European Union IST MAGNET projects. In CCNP, the cognitive control plane strives to exploit the resources to better satisfy the requirements of networked applications. CCNP facilitates collaboration inherently. Through cognition in the cognitive control plane, CCNP becomes a self-managed substrate. The self-managed substrate, in this paper, is defined as cognitive and collaborative middleware on which future applications run without user intervention. Endemic sensor networks may be incorporated into the CCNP concept to feed its cognitive control plane. In this paper, we present the CCNP concept and discuss the research challenges related to collaboration and cognition., Telecommunications, Electrical Engineering, Mathematics and Computer Science

Wireless ad hoc networks will be an important component in future communication systems. The performance of wireless ad hoc networks can be improved by link quality-aware applications. Wireless link quality is dynamic in nature, especially in mobile scenarios. Therefore, accurate and fast packet delivery ratio estimation is a prerequisite to good performance inmobile,multi-hop andmulti-rate wireless ad hoc networks. In this paper, we propose a novel packet delivery ratio estimation method that improves the accuracy and responsiveness of the packet delivery ratio estimation. The proposed link quality estimation components are implemented in a IEEE 802.11b/g test-bed. The experiment results show that the accuracy of the packet delivery ratio estimation can improve up to 50% in mobile scenarios without introducing overhead. We also show the end-to-end performance impact of this improved estimation on route selection using different routing metrics and configurations. The measurement results show that our packet delivery ratio method leads to better route selection in the form of increased end-to-end throughput compared to traditional methods, which respond slowly to the link dynamics., Telecommunications, Electrical Engineering, Mathematics and Computer Science

In this paper, we present a visionary concept referred to as Collaborative and Cognitive Network Platforms (CCNPs) as a future-proof solution for creating a dependable, self-organizing and self-managing communication substrate for effective ICT solutions to societal problems. CCNP creates a cooperative communication platform to support critical services across a range of business sectors. CCNP is based on the personal network (PN) technology which is an inherently cooperative environment prototyped in the Dutch Freeband PNP2008 and the European Union IST MAGNET projects. In CCNP, the cognitive control plane strives to exploit the resources to better satisfy the requirements of networked applications. CCNP facilitates collaboration inherently. Through cognition in the cognitive control plane, CCNP becomes a self-managed substrate. The self-managed substrate, in this paper, is defined as cognitive and collaborative middleware on which future applications run without user intervention. Endemic sensor networks may be incorporated into the CCNP concept to feed its cognitive control plane. In this paper, we present the CCNP concept and discuss the research challenges related to collaboration and cognition., Telecommunications, Electrical Engineering, Mathematics and Computer Science

This Ecma Technical Report explores Personal Networks (PNs) and their extensions. PNs provide secure and ubiquitous communication between (personal) devices over multiple network technologies. PNs provide automatic configuration of networking, security, and offers users access to their Services across their PNs. This Technical Report introduces the PN architecture and identifies various communication scenarios as well as standardization needs of PNs., Telecommunications, Electrical Engineering, Mathematics and Computer Science

This Ecma Technical Report explores Personal Networks (PNs) and their extensions. PNs provide secure and ubiquitous communication between (personal) devices over multiple network technologies. PNs provide automatic configuration of networking, security, and offers users access to their Services across their PNs. This Technical Report introduces the PN architecture and identifies various communication scenarios as well as standardization needs of PNs., Telecommunications, Electrical Engineering, Mathematics and Computer Science