دانلود مقاله ISI انگلیسی شماره 7783
عنوان فارسی مقاله

الگوریتم انتشار نردبان با استفاده از بهینه سازی کلونی مورچه ها برای شبکه های حسگر بی سیم

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
7783 2012 9 صفحه PDF سفارش دهید 4150 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A ladder diffusion algorithm using ant colony optimization for wireless sensor networks
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Information Sciences, Volume 192, 1 June 2012, Pages 204–212

کلمات کلیدی
- کلنی مورچه - مصرف - بهینه سازی
پیش نمایش مقاله
پیش نمایش مقاله الگوریتم انتشار نردبان با استفاده از بهینه سازی کلونی مورچه ها برای شبکه های حسگر بی سیم

چکیده انگلیسی

In this paper, an algorithm based on ladder diffusion and ACO [5] and [6] is proposed to solve the power consumption and transmission routing problems in wireless sensor networks. The proposed ladder diffusion algorithm is employed to route paths for data relay and transmission in wireless sensor networks, reducing both power consumption and processing time to build the routing table and simultaneously avoiding the generation of circle routes. Moreover, to ensure the safety and reliability of data transmission, our algorithm provides backup routes to avoid wasted power and processing time when rebuilding the routing table in case part of sensor nodes are missing. According to the experimental results, the proposed algorithm not only reduces power consumption by 52.36% but also increases data forwarding efficiency by 61.11% as compared to the directed diffusion algorithm. This decrease is because the algorithm properly assigns the transmission routes to balance the load on every sensor node.

مقدمه انگلیسی

Recent advances in micro-processing, wireless and battery technology, and new smart sensors have enhanced data processing, wireless communication, and detecting capability. Wireless sensor networks consist of many sensor nodes that contain environmental sensing devices for movement, temperature, humidity, exhaust gas, and so on, which are distributed over an area to measure various characteristics of that region. Each sensor node also has limited wireless computational power to process and transfer the sensing live data to the base station or data collection center. In general, each sensor node has a low level of power, and its battery power cannot be replenished. If the energy of a sensor node is exhausted, wireless sensor network leaks will appear, and failure nodes will not relay data to the other nodes during transmission processing. Thus, other sensor nodes will be increasingly burdened with transmission processing. Given these issues, energy consumption in wireless sensor networks is an important research issue. This paper proposes a ladder diffusion (LD) algorithm to map out the data relay routes in wireless sensor nodes. The algorithm focuses on balancing the data transmission load, increasing the lifetime of sensor nodes and their transmission efficiency. This study evaluates the performance of this algorithm for random wireless sensor networks with regard to the number of sensor nodes and relay hops required for data collection. The evaluation results show that the LD algorithm can effectively solve the problems related to routing and energy consumption for wireless sensor networks.

نتیجه گیری انگلیسی

In this paper, an algorithm based on ladder diffusion using ACO is proposed in order to solve power consumption and transmission routing problems in wireless sensor networks. The proposed ladder diffusion algorithm is employed to route paths for data relays and transmission in wireless sensor networks and reduces both power consumption and the processing time to build the routing table while simultaneously avoiding the generation of circle route. Moreover, to ensure the safety and reliability of data transmission, our algorithm provides back-up routes to avoid wasted power consumption and processing time when rebuilding the routing table in the case that part of a sensor node is missing. According to the experimental results, the proposed algorithm not only reduces power consumption by 52.36% but also increases data forwarding efficiency by 61.11% as compared to the directed diffusion algorithm by assigning the transmission routes in order to balance the load across all sensor nodes.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.