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In this paper, we proposed a rate-allocation based congestion control approach, called multi-path-congestion control method (MUCON for short), which enforcing high path availability of packet delivery for event-driven Wireless Sensor Networks (WSNs) consists of two parts. The first is constructing a spanning tree to connect all sensor nodes of a WSN to the sink for initial routing. The second is establishing...
Increasing transmission power is an effective way to improve real-time data delivery in wireless sensor networks. On the other hand, increased power will also incur more interference though it can improve the link quality to increase real-time communication. So there is a tradeoff between interference and delay. In this paper, we consider a distributed cross-layer routing mechanism to try to find...
Increasing transmission power is an effective way to improve real-time data delivery in wireless sensor networks. On the other hand, increased power will also incur more interference though it can improve the link quality to increase real-time communication. So there is a tradeoff between interference and delay. In this paper, we consider a joint power control, scheduling and real-time routing problem,...
This paper proposes a new addressing scheme for personal area and sensor networks with Zigbee. The method is based on arithmetic series and avoids address duplication and wastage. Problems associated with skip distance addressing and static addressing schemes are highlighted. Progressive addressing of nodes is demonstrated. The method permits identifying the Zigbee network using IPv6 addressing of...
This paper proposes a fast forward medium access control protocol (FFMAC) for quality-of-service (QoS) guarantee in multihop IEEE 802.11s wireless mesh networks with multiple channels. To the best of our knowledge, the proposed protocol is the first one which considers the multihop and multichannel issues simultaneously. It provides higher priority for real-time applications, while remaining the distributed...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
In this paper, we introduce a pricing model that ensures efficient resource allocation that provides guaranteed quality of service while maximizing profit in multiservice networks. Specifically, a dynamic allocation policy is examined that relies on online measurements while each service class operates under a probabilistic bound delay constraint. We present a rigorous analysis of the properties of...
This paper explores the attributes, layering models and objective functions in cross layer designs for mobile ad hoc wireless networks by taking all the statistical characteristics and constraints from the physical (PHY) layer, media access control (MAC) layer and network (NET) layer into consideration. This paper reviews the entire network optimization across all the PHY/MAC/NET layers. At the PHY...
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