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By considering the existence of bridge sensor nodes that lose the capability of sensing, the average bridge consensus problem aims to achieve the average of selective observations only from sensing nodes while bridge nodes play the role of relaying information. We note that traditional average consensus algorithms achieve the global average of states from all nodes in the network, which are not directly...
This paper develops an asynchronous distributed localization algorithm based on consensus alternating direction method of multipliers (ADMM). The proposed algorithm is particularly suited to heterogeneous wireless networks with limited resources. Key features of the proposed algorithm include the capability to tolerate delays, node failures, and lost messages. Even though the localization problem...
In this work, we present a new distributed algorithm for a non-convex and nonsmooth dictionary learning problem. The proposed algorithm, named proximal primal-dual algorithm with increasing penalty (Prox-PDA-IP), is a primal-dual scheme, where the primal step minimizes certain approximation of the augmented Lagrangian of the problem, and the dual step performs an approximate dual ascent. We provide...
In this paper, a sequential channel sensing algorithm for multichannel heterogeneous Cognitive Radio Networks (CRNs) is studied. More specifically, a new transmission algorithm is introduced and its performance is evaluated via simulations. In the proposed algorithm, referred to as “Distributed algorithm”, we assume that the secondary users select their transmission channels without coordination by...
Recently there have been numerous studies exploring the benefits of the coalition formation in a cognitive radio network and it has been shown that coalition formation tends to improve the performance of cognitive radio networks. In this paper, we use the concepts from matching theory to form coalitions of varying size among cognitive radio users for cooperative spectrum sensing under target detection...
Cooperative sensing is a promising technique that enables secondary users (SUs) to combine their channel observations in order to improve the spectrum sensing accuracy. However, in an adversarial environment where the secondary nodes are particularly selfish and the spectrum sensing is energy costly, selfish SUs can easily exploit the spectrum sensing result without participating in the sensing process...
Precise localization in wireless sensor networks depends on distributed algorithms running on a large number of wireless nodes with reduced energy, processing and memory resources. Prerequisite for the estimation of unique nodes locations is rigid network graph. To satisfy this prerequisite network graph needs to be well connected. On the other hand, execution of distributed algorithm in the graphs...
Recently there have been numerous studies exploring the benefits of the coalition formation in a cognitive radio network and it has been shown that coalition formation tends to improve the performance of cognitive radios. In this paper, we use the concepts from matching theory to form coalitions among cognitive radio users for cooperative spectrum sensing under target detection probability constraint...
In this paper we propose an advanced computational intelligence solution for an an Agent-based framework for implementing blended shopping scenarios. The proposed solution meets needs recently arose in Ubiquitous Computing and Pervasive Computing as well. The work focuses on the definition of an Indoor Navigation System that guides shoppers in a shopping mall, towards the shops providing the most...
Given a random deployment of heterogeneous mobile nodes having different sensing ranges, this paper addresses the problem of covering a region using minimum number of nodes with minimum displacement. We propose an energy-efficient and light-weight self-organized distributed greedy heuristic to maximize area coverage such that the amount of computation, rounds of communication, and the distance traversed...
Crowd sourced sensing over smartphones presents a new paradigm for collecting sensing data over a vast area for real-time monitoring applications. A monitoring application may require different types of sensing data, while under a budget constraint. This paper explores the crucial problem of maximizing the aggregate data utility of heterogeneous sensing tasks while maintaining utility-centric fairness...
In this paper we consider the problem of increasing the throughput of cognitive radio in a cognitive radio network by forming coalitions among cognitive radio users. Recently there have been numerous studies exploring the benefits of the cooperation in a cognitive radio network. The cooperation tends to increase the spectrum sensing performance which in turn results in increased transmission opportunities...
To enable the development of an autonomous power control system comprised of highly-distributed software agents, a distributed implementation of a power system state estimator must be developed. The estimator uses agents located at each bus to estimate the local state and boundary conditions that are then communicated to neighboring agents. Using an iterative approach, the agents can compute a near-optimal...
This paper focuses on workload allocation among mobile nodes in a mobile crowd sensing system. We take both two important objectives into account, including load balance and sensing data utility maximization. However, workload allocation achieving both objectives is particularly challenging. First, there is an intrinsic tradeoff between load balance and utility maximization. The system should strike...
In wireless sensor networks (WSNs), there is no predefined infrastructure. Nodes need to frequently flood messages to discover routes, which badly decreases the network performance. To overcome such drawbacks, WSNs are often grouped into several disjointed clusters, each with a representative cluster head (CH) in charge of the routing process. In order to further improve the efficiency of WSNs, it...
Radio Environment Map (REM) is a map that indicates the radio signal strength (RSS) over a finite geographical region. It enables cognitive radio (CR) users to opportunistically access to the spectrum unoccupied by the primary users (PUs) who are licensed to use specific spectrum. In this paper, a basis expansion based scheme is presented to estimate REM. We take the sparsity of preselected basis...
This paper proposes a distributed flow-based routing technique in energy-harvesting wireless sensor networks (EHWSNs) in order to balance the energy consumptions by sending packets assigned to routers that are sent from sensors to base stations. The objective of the flow optimization problem is to minimize the total load factors of all the nodes and wireless links, which leads to sustainable management...
Efficient coverage and energy conservation are two of the primary concerns for area coverage applications of randomly deployed wireless sensor networks. This paper developed a distributed algorithm using range adjustable sensors for maintaining the full coverage of such sensor networks. The algorithm contains two major parts: the first part aims at providing 100% coverage and the second part aims...
Future Wireless Sensor Networks (WSNs) will be composed of a large number of densely deployed sensors. A key feature of such networks is that their nodes are untethered and unattended. Distributed techniques are expected in WSNs. Computing Connected Dominating Sets (CDSs) have been widely used for virtual backbone construction in WSNs to control topology, facilitate routing, and extend network lifetime...
Unmanned Aerial Vehicle (UAV) networks require successful mission execution, which is dependent on task planning and control. In this paper, we propose a distributed task allocation algorithm for a multi-UAV sensor network for sensing thorium intensities in the coastal areas of India. A power-aware coordination and planning approach is used to coordinate the activities of multiple UAVs. Depending...
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