【正文】 無(wú)線(xiàn)傳感器節(jié)點(diǎn)，在每個(gè)路口創(chuàng)建一個(gè)獨(dú)立的系統(tǒng)，因此很容易在有車(chē)輛密度大的交叉口來(lái)實(shí)現(xiàn)。 5 ）如果多個(gè)道路有流量通過(guò)到 AX，在路上等待時(shí)間最長(zhǎng)將在下一個(gè)時(shí)間段給綠色信號(hào)?？紤] 4 級(jí)傳感器 AX， BX， CX， DX， A 具有最高的優(yōu)先級(jí)和 X代表道路 1 至 4。 3）比較的數(shù)據(jù)，并計(jì)算最高的密度。在非信標(biāo)使能網(wǎng)絡(luò)，電力消 費(fèi)顯然是不對(duì)稱(chēng)的：一些設(shè)備總是積極的，而其他的大部分時(shí)間都在睡覺(jué)。在非信標(biāo)使能的網(wǎng)絡(luò)，一個(gè)非時(shí)隙 CSMA/ CA 信道接入機(jī)制被使用。 ? ZigBee 路由器（ ZR）：除了運(yùn)行的應(yīng)用程序的功能，一個(gè)設(shè)備可以充當(dāng)一個(gè)中間路由器，通過(guò)對(duì)來(lái)自其它設(shè)備的數(shù)據(jù)。 ZigBee 是針對(duì)需要低數(shù)據(jù)速率應(yīng)用，電池壽命長(zhǎng)，安全的網(wǎng)絡(luò)。 CC2420 是許多應(yīng)用使用默認(rèn)的無(wú)線(xiàn)電設(shè)置提供符合 IEEE 符合高度可配置的。 G. Tmote Sky TmoteSky 是一個(gè)超低功耗無(wú)線(xiàn)模塊使用在傳感器網(wǎng)絡(luò)，監(jiān)控應(yīng)用程序，并快速應(yīng)用原型。是必需的，比任何其他進(jìn)程的數(shù)據(jù)通信更多的能量。紅外線(xiàn)，如激光器，不需要天線(xiàn)，但它在其廣播能力的限制。功耗，尺寸和成本是遠(yuǎn)的距離傳輸?shù)目紤]因素。 圖 1 節(jié)點(diǎn) 框圖 節(jié)點(diǎn)的需求 一個(gè)節(jié)點(diǎn)的主要職責(zé)是在任何區(qū)域中，從各個(gè)分布式傳感器收集信息，并將收集到的信息傳輸?shù)街醒肟刂破魅ヌ幚?。和有源傳感?[3]。中央處理器對(duì)傳感網(wǎng)絡(luò)進(jìn)行所有的計(jì)算。傳感器感測(cè)所述車(chē)輛在交叉路口和收發(fā)器通過(guò)無(wú)線(xiàn)介質(zhì)發(fā)送所述傳感器的數(shù)據(jù)發(fā)送到中央控制器。該系統(tǒng)涉及到 4 2 陣列的傳感器節(jié)點(diǎn)中的每個(gè)道路?；诘缆凡东@的視覺(jué)輸入該系統(tǒng)的工作原理和處理他們找到哪條路有密集的交通。這里提出的系統(tǒng)包括對(duì)每一個(gè)節(jié)點(diǎn)進(jìn)行本地化的交通規(guī)劃，這些都是基于無(wú)線(xiàn)傳感器網(wǎng)絡(luò)。在發(fā)展中國(guó)家實(shí)現(xiàn)這些技術(shù)，這可能是不可行的，因?yàn)閷?shí)現(xiàn)這些技術(shù)的過(guò)程很復(fù)雜，而且費(fèi)用昂貴。 passive narrowbeam sensors。 they may range from to at 250 kbps. In general, the ZigBee protocols minimize the time the radio is on, so as to reduce power use. In beaconing works, nodes only need to be active while a beacon is being transmitted. In nonbeaconenabled works, power consumption is decidedly asymmetrical: some devices are always active, while others spend most of their time sleeping. V. PROPOSED ALGORITHM A. Basic Algorithm Consider a left side driving system (followed in UK, Australia, India, Malaysia and 72 other countries). This system can be modified for right side driving system (USA, Canada, UAE, Russia etc.) quite easily. Also consider a junction of four roads numbered as node 1, 2, 3 and 4 respectively. Traffic flows from each node to three other nodes with varied densities. Consider road 1 now given green signal in all directions. Fig. 4 Intersection Under Consideration 1) Free left turn for all roads (free right for right side driving system). 2) Check densities at all other nodes and retrieve data from strip sensors. 3) Compare the data and pute the highest density. 4) Allow the node with highest density for 60sec. 5) Allowed node waits for 1 time slot for its turn again and the process is repeated from step 3. B. Advanced Algorithm Assume road three is currently given green to all directions. All left turns are always free. No signals/sensors for left lane. Each road is given a time slot of maximum 60 seconds at a time. This time can be varied depending on the situation of implementation. Consider 4 levels of sensors Ax, Bx, Cx, Dx with A having highest priority and x representing roads 1 to 4. Also consider 3 lanes of traffic: Left (L), Middle (M) and Right(R) corresponding to the direction of traffic. Since left turn is free, Left lanes do not require sensors. So sensors form 4x2 arrays with 4 levels of traffic and 2 lanes and are named MAx, RAx, MBx, RBx and so on and totally 32 sensors are following flow represents the sequence of operation done by the signal. 1) Each sensor transmits the status periodically to the controller. 2) Controller receives the signals and putes the following 3) The sensors Ax from each road having highest priority are pared. 4) If a single road has traffic till Ax, it is given green signal in the next time slot. 5) If multiple roads have traffic till Ax, the road waiting for the longest duration is given the green. 6) Once a road is given green, its waiting time is reset and its sensor status is neglected for that time slot 7) If traffic in middle lane, green is given for straight direction, based on traffic, either right side neighbor is given green for right direction, of opposite road is give green for straight direction. 8) If traffic in right lane, green is given for right, and based on traffic, left side neighbor is given green for straight or opposite is given green for right. 9) Similar smart decisions are incorporated in the signal based on traffic density and directional traffic can be controlled. C. Implementation and Restrictions This system can be implemented by just placing the sensor nodes beneath the road or on lane divider and interfacing the central controller to the existing signal lights and connecting the sensor nodes to the controller via the proposed wireless protocol. The only restriction for implementing the system is taking the pedestrians into consideration. This has to be visualized for junctions with heavy traffic such as highway intersections and amount of pedestrians is very less. Also major intersections have underground or overhead footpaths to avoid interaction of pedestrians with heavy traffic. VI. CONCLUSION The above proposed system for automated traffic signal routing using Wireless Sensor Networks is advantageous to many existing systems. The wireless sensors nodes create a standalone system at each intersection making it easy to implement in the intersections having heavy density of vehicles. It is also cost inexpensive and does not require any system in the vehicles making it more practical than existing systems. The use of various systems of sensor nodes can be altered based on the requirement and any type of sensor can be used based on the feasibility of the location. ACKNOWLEDGMENT The Authors would like to take this opportunity to thank Ms. P. Sasikala, Assistant Professor, ECE department, Sri Venkateswara College of Engineering, Sriperumbudur, who gave the basic insight into the field of Wireless Sensor Networks. We also thank Mrs. G. Padmavathi, Associate Professor, ECE department, Sri Venkateswara College of Engineering, Sriperumbudur, who with her expertise in the field of works advise