西安文理学院学报(自然科学版)
西安文理學院學報(自然科學版)
서안문이학원학보(자연과학판)
Journal of Xi'an University of Arts and Science (Natural Science Edition)
2015年
4期
61-65
,共5页
无线传感器网络%竞争估计%退避算法%自适应
無線傳感器網絡%競爭估計%退避算法%自適應
무선전감기망락%경쟁고계%퇴피산법%자괄응
wireless sensor network%estimation of competition%backoff algorithm%adaptive
由于在无线传感器网络中节点数量众多,经常会导致通信阻塞、误码和丢包的情况,为了提高在无线传感网络内工作节点的通信质量和效率,针对 IEEE 802.15.4协议中退避算法不能反映网络竞争情况和易产生不公平现象的缺陷,提出了一种改进的自适应退避算法.通过统计节点的发包成功率和信道使用率估计局部信道的竞争程度,并根据竞争状况自适应地改变退避计数器的取值,提高信道利用率的同时避免频繁的碰撞,以达到改善网络性能的目的.通过仿真结果表明,激烈竞争时改进算法的数据投递率比传统的二进制退避算法提高了约5.8%,并且大幅改善了网络的公平性,为推动物联网的发展提供了可靠保障.
由于在無線傳感器網絡中節點數量衆多,經常會導緻通信阻塞、誤碼和丟包的情況,為瞭提高在無線傳感網絡內工作節點的通信質量和效率,針對 IEEE 802.15.4協議中退避算法不能反映網絡競爭情況和易產生不公平現象的缺陷,提齣瞭一種改進的自適應退避算法.通過統計節點的髮包成功率和信道使用率估計跼部信道的競爭程度,併根據競爭狀況自適應地改變退避計數器的取值,提高信道利用率的同時避免頻繁的踫撞,以達到改善網絡性能的目的.通過倣真結果錶明,激烈競爭時改進算法的數據投遞率比傳統的二進製退避算法提高瞭約5.8%,併且大幅改善瞭網絡的公平性,為推動物聯網的髮展提供瞭可靠保障.
유우재무선전감기망락중절점수량음다,경상회도치통신조새、오마화주포적정황,위료제고재무선전감망락내공작절점적통신질량화효솔,침대 IEEE 802.15.4협의중퇴피산법불능반영망락경쟁정황화역산생불공평현상적결함,제출료일충개진적자괄응퇴피산법.통과통계절점적발포성공솔화신도사용솔고계국부신도적경쟁정도,병근거경쟁상황자괄응지개변퇴피계수기적취치,제고신도이용솔적동시피면빈번적팽당,이체도개선망락성능적목적.통과방진결과표명,격렬경쟁시개진산법적수거투체솔비전통적이진제퇴피산법제고료약5.8%,병차대폭개선료망락적공평성,위추동물련망적발전제공료가고보장.
Due to a large number of nodes in the wireless sensor network, the jam communica-tion, bit error and packet loss situation often occur. In order to improve the communication quality and efficiency of nodes in wireless sensor network, an improved adaptive backoff algo-rithm was proposed aiming at the defect of the backoff algorithm can not reflect the network competition and it is easy to produce an unfair phenomenon in the 802. 15. 4 IEEE protocol. The degree of competition of local channel was estimated by the node success rate of the statis-tics and the channel usage rate, and the value of the backoff counter was adaptively changed according to the competition situation. Therefore, the channel utilization was improved while a-voiding frequent collisions, and the purpose of improving the network performance was a-chieved. The simulation result indicates that the data delivery ratio of improved algorithm in the fierce competition is improved about 5. 8% than that of the traditional binary backoff algorithm, and the fairness of the network is significantly improved. All of above will provide a reliable guarantee for the development of the Internet of things.