Wireless Sensor Networks Coverage-energy Algorithms Based on Particle Swarm Optimization
نویسنده
چکیده
ةيكلسلالا راعشتسلاا تاكبش ةيطغت يف ) WSN ( ةكبشلا نم ةمدخلا ةدوج سايق يف مهم بناج . عم لومحملا ةكبش WSN كيرحت قيرط نع اهتيطغت نيسحت ىلع ةرداق لا sensor nodes لضفأ بيترت ىلإ لصوتلا متي ثيحب . نكل ت ةقاط كلهتسي راعشتسلاا ةزهجأ كيرح . ةقرولا هذه يف ةيثحبلا ةثلاث ضرع مت algorithms ةيطغت نيسحتل WSN ةقاطلا مادختسا رابتعلاا يف ذخلأا عم لومحملا . تتبثا، ىلإ ادانتساو تيرجأ يتلا براجتلا حاجن لا ـ algorithms
منابع مشابه
Multi-layer Clustering Topology Design in Densely Deployed Wireless Sensor Network using Evolutionary Algorithms
Due to the resource constraint and dynamic parameters, reducing energy consumption became the most important issues of wireless sensor networks topology design. All proposed hierarchy methods cluster a WSN in different cluster layers in one step of evolutionary algorithm usage with complicated parameters which may lead to reducing efficiency and performance. In fact, in WSNs topology, increasin...
متن کاملIntelligent Single Particle Optimizer Based Wireless Sensor Networks Adaptive Coverage
This paper studies wireless sensor networks node deployment problem and proposes intelligent single particle optimizer based wireless sensor networks adaptive coverage. According to the probability model measure characteristic of wireless sensor nodes, the method adaptively determines the optimal deployment of sensor nodes using intelligent single particle optimizer, achieving sensor node based...
متن کاملBroadcast Routing in Wireless Ad-Hoc Networks: A Particle Swarm optimization Approach
While routing in multi-hop packet radio networks (static Ad-hoc wireless networks), it is crucial to minimize power consumption since nodes are powered by batteries of limited capacity and it is expensive to recharge the device. This paper studies the problem of broadcast routing in radio networks. Given a network with an identified source node, any broadcast routing is considered as a directed...
متن کاملMobility-Assisted Relocation for Self-Deployment in Wireless Sensor Networks
Sensor network deployment is very challenging due to the hostile and unpredictable nature of environments. The field coverage of wireless sensor networks (WSNs) can be enhanced and consequently network lifetime can be prolonged by optimizing the sensor deployment with a finite number of mobile sensors. In this paper, we introduce a comprehensive taxonomy for WSN self-deployment in which three s...
متن کاملMultiple Target Tracking in Wireless Sensor Networks Based on Sensor Grouping and Hybrid Iterative-Heuristic Optimization
A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation. We propose a hybrid optimization method, which consists of an iterative and a heuristic search method, for finding the location of targets simultaneously. T...
متن کاملDistributed Particle Swarm Optimization and Simulated Annealing for Energy-efficient Coverage in Wireless Sensor Networks
The limited energy supply of wireless sensor networks poses a great challenge for the deployment of wireless sensor nodes. In this paper, we focus on energy-efficient coverage with distributed particle swarm optimization and simulated annealing. First, the energy-efficient coverage problem is formulated with sensing coverage and energy consumption models. We consider the network composed of sta...
متن کامل