Abstract:In recent years, wireless ad hoc networks have been a growing area of research. While there has been considerable research on the topic of routing in such networks, the topic of topology creation has not received due attention. This is because almost all ad hoc networks to date have been built on top of a single channel, broadcast based wireless media, such as 802.11 or IR LANs. For such networks the distance relationship between the nodes implicitly (and uniquely) determines the topology of the ad hoc network… Show more
“…Bluetooth scatternet formation has recently attracted significant attention, where existing studies can be classified as formation algorithms [6][7][8][9][10][11][12] and performance related studies [13][14][15][16]. The algorithms for Bluetooth scatternet formation show differences in their approaches.…”
“…The algorithms for Bluetooth scatternet formation show differences in their approaches. A centralized approach [8] needs extensive messaging between nodes, and hence it is impractical to use centralized algorithms in dynamic environments. Distributed techniques provide the most appropriate solution for constructing scatternets.…”
“…Algorithms also differ in the resulting scatternet topology: some with tree [6,[8][9][10][11] and some with mesh topologies [7,12]. It is shown that the optimum Bluetooth scatternet topologies are application dependent [13].…”
“…Neighbor discovery phase SF-DeviL is a distributed algorithm where each device upon initialization starts the MAIN procedure given in Table 1. The generic device X calculates its DG and starts device discovery by alternating between I/IS modes [1,8] until a neighboring device Y is found. Upon establishment of a link to node Y, X executes the ArrangeRoles(X,Y) procedure given in Table 2.…”
Section: Algorithm For Scatternet Formationmentioning
Bluetooth is a short-range ad hoc networking technology, which enables formation of inexpensive personal area networks with low power consumption. Using Bluetooth technology, a small number of closely located devices can be interconnected within a piconet. Building larger ad hoc networks is possible by interconnecting multiple piconets to form a scatternet. As the Bluetooth topology grows from isolated piconets to a scatternet, energy-efficiency becomes a critical issue since additional power is consumed for multi-hop routing. A scatternet should be formed in such a way that batteries of mobile devices are efficiently used in order to lengthen scatternet lifetime.We discuss the problem of energy-efficient topology construction and maintenance for Bluetooth scatternets. An energy-efficient, distributed Bluetooth Scatternet Formation algorithm based on Device and Link characteristics (SF-DeviL) is presented. SF-DeviL forms scatternets with tree topologies and increases battery lifetimes of devices by using device types, battery levels and received signal strengths. The topology is dynamically reconfigured in SF-DeviL so that energy efficiency is maintained during the lifetime of the scatternet. It is shown through simulations that even without performing reconfiguration the network lifetime is increased by at least 229% compared to LMS algorithm and increased by at least 10% compared to BlueMesh algorithm in heterogeneous networks. q
“…Bluetooth scatternet formation has recently attracted significant attention, where existing studies can be classified as formation algorithms [6][7][8][9][10][11][12] and performance related studies [13][14][15][16]. The algorithms for Bluetooth scatternet formation show differences in their approaches.…”
“…The algorithms for Bluetooth scatternet formation show differences in their approaches. A centralized approach [8] needs extensive messaging between nodes, and hence it is impractical to use centralized algorithms in dynamic environments. Distributed techniques provide the most appropriate solution for constructing scatternets.…”
“…Algorithms also differ in the resulting scatternet topology: some with tree [6,[8][9][10][11] and some with mesh topologies [7,12]. It is shown that the optimum Bluetooth scatternet topologies are application dependent [13].…”
“…Neighbor discovery phase SF-DeviL is a distributed algorithm where each device upon initialization starts the MAIN procedure given in Table 1. The generic device X calculates its DG and starts device discovery by alternating between I/IS modes [1,8] until a neighboring device Y is found. Upon establishment of a link to node Y, X executes the ArrangeRoles(X,Y) procedure given in Table 2.…”
Section: Algorithm For Scatternet Formationmentioning
Bluetooth is a short-range ad hoc networking technology, which enables formation of inexpensive personal area networks with low power consumption. Using Bluetooth technology, a small number of closely located devices can be interconnected within a piconet. Building larger ad hoc networks is possible by interconnecting multiple piconets to form a scatternet. As the Bluetooth topology grows from isolated piconets to a scatternet, energy-efficiency becomes a critical issue since additional power is consumed for multi-hop routing. A scatternet should be formed in such a way that batteries of mobile devices are efficiently used in order to lengthen scatternet lifetime.We discuss the problem of energy-efficient topology construction and maintenance for Bluetooth scatternets. An energy-efficient, distributed Bluetooth Scatternet Formation algorithm based on Device and Link characteristics (SF-DeviL) is presented. SF-DeviL forms scatternets with tree topologies and increases battery lifetimes of devices by using device types, battery levels and received signal strengths. The topology is dynamically reconfigured in SF-DeviL so that energy efficiency is maintained during the lifetime of the scatternet. It is shown through simulations that even without performing reconfiguration the network lifetime is increased by at least 229% compared to LMS algorithm and increased by at least 10% compared to BlueMesh algorithm in heterogeneous networks. q
“…The protocol is designed to perform well when devices that are in-range of each other become active in a short time interval. Some Bluetooth s catternet construction protocols [8] contain s elforganization procedures that cater for the case of nodes frequently joining and leaving the scatternet, leading tod ynamic topologies. However these protocols relyon the Bluetooth random-access inquiry mechanisms, which are reputed to be slow; delays of the order of 10s [9] are not unusual.…”
Abstract. Ultra Wide Band (UWB)impulse radio is a promising technology for future short-range, low-power, low cost and high data ratead hoc networks.The technology isbeing explored in a number of research projects. While most UWB research for this class of networksisconcentrating on the physicall ayer, little researchh as been published on link layer protocols which exploit the specifics of UWB impulse r adio. In t his paper, w e focus on t he selforganization concept and the peculiarities of UWB technology from aphysical and a link layer point of view. Anovel self-organizing link layerprotocol based on time hopping spread spectrum is proposed in thispaper.This protocol promisest obean efficient and collision-free mechanism t hat enables the devices tod iscover neighbornodes and arrange the access to communication resources shared among the nodes. The adjustable parameters of the protocol enable the network to adapt to a dynamic environment.
1IntroductionArange of services supporting future mobile applications are expected to require high data rates, high communicationquality and efficient network access. A case in point is mobile interactive gaming, where fast transmission of image and voice in dynamic environments is a prerequisite.Wireless networks that meet these expectations will have a hybrid character, consisting mainly of ad hoc networks with occasional access to infrastructures, in order to reachremote nodes or infrastructure-based servers. They will have tooperate completely automatically without t he interventiono f s ystem administrators, and therefore will haveto be self-organizing. Self-organization in this context implies the automatic finding of neighbor nodes, the creation of connections, the scheduling of transmissions and the determining of routes. This should be performed in a distributed manner sothat all nodes in t he network are able t o exchange information and reconfigure the network when nodes join or leave, or when radio linksare broken or established.A promising but, because of implementation difficulties, notw ell explored radio technology is UWB impulse radio. This technology has a lot of potentialf or high-* This researchi spart of the AIRLINK project funded by the Dutch Ministry of Economic Affairs under the Freeband Impulse Program.
SUMMARYDistributed object-oriented platforms are increasingly important over wireless environments for providing frameworks for collaborative computations and for managing a large pool of distributed resources. Due to limited bandwidths and heterogeneous architectures of wireless devices, studies are needed into supporting object-oriented frameworks over heterogeneous wireless environments and optimizing system performance. In our research work, we are working towards efficiently supporting object-oriented environments over heterogeneous wireless environments. In this paper, we report the issues and our research results related to the efficient support of Java RMI over a Bluetooth environment. In our work, we first implement support for Java RMI over Bluetooth protocol stacks, by incorporating a set of protocol stack layers for Bluetooth developed by us (which we call JavaBT) and by supporting the L2CAP layer with sockets that support the RMI socket. In addition, we model the cost for the access patterns of Java RMI communications. This cost model is used to guide the formation and optimizations of the scatternets of a Java RMI Bluetooth environment. In our approach, we employ the well-known BTCP algorithm to observe initial configurations for the number of piconets. Using the communication-access cost as a criterion, we then employ a spectralbisection method to cluster the nodes in a piconet and then use a bipartite matching scheme to form the scatternet. Experimental results with the prototypes of Java RMI support over a Bluetooth environment show that our scatternet-formation algorithm incorporating an access-cost model can further optimize the performances of such as system.
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