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This article presents a framework and develops a formulation to solve a path planning problem for multiple heterogeneous Unmanned Vehicles (UVs) with uncertain service times for each vehicle-target pair. The vehicles incur a penalty proportional to the duration of their total service time in excess of a preset constant. The vehicles differ in their motion constraints and are located at distinct depots...
Most of the routing algorithms for unmanned vehicles, that arise in data gathering and monitoring applications in the literature, rely on the Global Positioning System (GPS) information for localization. However, disruption of GPS signals either intentionally or unintentionally could potentially render these algorithms not applicable. In this article, we present a novel method to address this difficulty...
In this paper, two hybrid multi-hop/single-hop opportunistic transmission strategies for lifetime extension of WSNs are proposed. To prolong the network lifetime, a systematic model that contains a network distribution block, a routing algorithm block, a traffic pattern block and an optimal policy block is presented to determine the optimal transmission probability of each node. With the global routing...
Wireless sensor networks WSNs are exceptional network comprise of network devices in large numbers and spatial circulation. They have different sensing capacity and participate to finish common task. It is seen in writing overview that density grid based clustering in WSN which has enhanced the execution of the WSNs by utilizing the gathering based information aggregation. In any case, no enhancement...
Wireless sensors are used to acquire the data from different environments such civilian applications, military, tracking, seismic measurements and monitoring applications in order to take necessary actions or to prevent the disasters, to do so all sensors consumes more energy. Since, the sensor is a battery operated device the lifetime of each sensor is reduced. Therefore effective cluster formation...
Network lifetime is still the key issue when we deploy wireless sensor networks and IoT solutions in real-world applications. Current WSN research trends include duty-cycling at MAC layer and energy efficient routing at network layer, among others. In this study we propose an Optimal Probabilistic Energy-Aware Routing Protocol (OPEAR) for duty-cycled WSNs which aims at maximizing the network lifetime...
Here we have discuss the network coverage of sensors nodes and proposed th+○8e algorithm for energy efficiency, target tracking and optimization. In WSN network for achieving the high energy efficiency we need to avoid long distance communication. We focus on distributed deployment optimization, With optimized sensor deployment, and while target tracking for the optimize energy consumption we can...
Spectrum sensing is one of the most mandatory mechanisms of Cognitive Radio (CR) to find the unused Spectrum. Spectrum sensing has renewed on a very active scrutiny area over recent years. As it is one of the most important tasks performed using cognitive radio and the implementation of the other functions of the cognitive radio is based on the spectrum sensing. So it is mandatory for cognitive radio...
Wireless Sensor Networks are energy-constrained and thereby require energy-efficient protocols to maximize the network lifetime. Since many sensors have closely-related readings, correlated data gathering has emerged as an efficient approach for achieving energy conservation. Hence, the objective of this work is to study the existing literature on correlated data gathering in WSN and propose an improvement...
In recent years, Wireless Body Area Networks (WBANs) have gained increasing interest in the research community and become an emerging technology, especially in healthcare services. This position paper focuses on the energy optimization issue and the joint routing and MAC protocols in WBANs. We extend upon our previous model on the Energy-Aware Topology Design for WBANs (EAWD), so as to include PHY...
Wireless sensor networks (WSNs) have been widely studied and usefully employed in many applications such as monitoring environment, embedded system and so on. Coverage preservation, unique ID assignment and extension of network lifetime are important features for wireless sensor networks. Grouping sensor nodes into clusters is an effective way to improve the network performance. The ratio of covered...
Taking into account the energy issue, an energy-efficient routing scheme based on redundancy detection is proposed for wireless sensor networks. Our scheme designs the mechanism of nodes' redundancy detection to reduce the unnecessary redundant information during routing and to save the node energy consumption effectively. In addition, it introduces the idea of optimization coverage set of nodes selection...
Due to the characteristics of source limited, multi-to-one paths and burst data flow, congestion inevitable happens in wireless sensor networks (WSNs). The control mechanism of congestion for WSNs is of high significant and plays a key role in achieving high QoS of the network. In this paper, many existing congestion control mechanisms have been summarized and compared, some interesting topics have...
Wireless sensor networks (WSN) are widely used for environmental monitoring, healthcare, and surveillance. Their lifetime is strongly affected by energy consumption, which is partly attributed to retransmission. However, retransmission problems have not been well studied in the area of deployment optimization considering lifetime for WSN. In this paper, important models for lifetime, sensor failure,...
In this paper, we study the routing and resource allocation problem in multi-hop cognitive radio networks. The collision between primary users (PUs) and secondary users (SUs) is taken into consideration, which is unavoidable if activities of PUs and SUs are not synchronized with each other. Our objective is to maximize the average throughput of a secondary traffic flow while the number of collisions...
In this paper we proposed a multi-objective optimization model for wireless sensor networks (WSNs). The proposed model optimized several objectives, simultaneously. Indeed, by starting from a generic configuration we found new location for sensors, that the network have appropriate performance in terms of energy consumption and travelled distance. For the monotony of energy consumption and life time...
This paper attempts to undertake the study of maximizing the lifetime of Heterogeneous wireless sensor networks (WSNs). In wireless sensor networks, sensor nodes are typically power-constrained with limited lifetime, and thus it is necessary to know how long the network sustains its networking operations. Heterogeneous WSNs consists of different sensor devices with different capabilities. We can enhance...
The Wireless Sensor Networks (WSNs) design related questions give rise to new complex and difficult theoretical problems and challenges in operations research and optimization areas. As WSNs become increasingly pervasive, a good understanding of these problems in terms of theoretical complexity is of great help in designing appropriate algorithms. In this paper, we examine some of the most fundamental...
Admission control plays an important role in providing Quality of Service (QoS) guarantees for wireless mesh networks (WMNs). Multipath routing can improve network performance in reliability and load balancing. However, when the multipath routing are adopted in 802.11-based WMNs, the transmission with bandwidth assurance is facing rigorous challenges. In this paper, a novel joint design of multipath...
In this paper, we formulate coverage requirements of the sensor network as a minimum-cost connectivity guaranteed point k-coverage problem. An improved ant colony algorithm (EasiDesign) is proposed to achieve the approximate solution to this optimization problem. We made modifications in the convergence strategy and the ant state transition rule of the general ant colony optimization. Considering...
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