【正文】
LHC+1。組躍點(diǎn)計(jì)數(shù)(GHC):這是表示的控制數(shù)據(jù)包傳遞到其他傳輸從一個(gè)組時(shí)的躍點(diǎn)數(shù)的計(jì)數(shù)器。GHC的值初始化為0,在一般的GHC=GHC+1,后續(xù)跳躍的數(shù)據(jù)包從一個(gè)組到其他組。節(jié)點(diǎn)的每個(gè)組中存在只有一個(gè)父網(wǎng)關(guān)。組中存在至少一個(gè)子網(wǎng)關(guān)。節(jié)點(diǎn)能級(jí)(NEL):當(dāng)前節(jié)點(diǎn)的能量級(jí)別稱(chēng)為NEL。父網(wǎng)關(guān)功率級(jí)(PGPL):任何組的父網(wǎng)關(guān)的發(fā)射功率水平它可以與子網(wǎng)關(guān)的上游組織連接被稱(chēng)為父網(wǎng)關(guān)功率級(jí)(PGPL)。然而對(duì)于其它組中的父網(wǎng)關(guān)Pmin <PGPL ≤Pmax按我們的假設(shè)這值可能在1和3之間。3分布式的功率控制協(xié)議在本節(jié)中,我們將提出我們基于拓?fù)浣Y(jié)構(gòu)協(xié)議的功率控制,這是一種動(dòng)態(tài)的拓?fù)浣Y(jié)構(gòu)。根據(jù)我們協(xié)議的每個(gè)系統(tǒng)模型,由于每個(gè)組的節(jié)點(diǎn)之間存在的連接孔,我們假設(shè)網(wǎng)絡(luò)可能會(huì)斷開(kāi)連接,如果他們使用低傳輸功率級(jí)與另一個(gè)節(jié)點(diǎn)的一組之間,并且可能會(huì)消耗更多的精力,如果他們使用最大傳輸功率級(jí)進(jìn)行通信。因此,我們的協(xié)議,在樹(shù)拓?fù)錁?gòu)造節(jié)點(diǎn)使用最小傳動(dòng)功率級(jí)的每個(gè)組之間(Pmin=0),整個(gè)網(wǎng)絡(luò)的樹(shù)拓?fù)溥B接在不同組節(jié)點(diǎn)中形成并使用有效功率級(jí)別(PTx),這里(Pmin=0)< PTx ≤(Pmax=3)。施工階段 一旦所有的節(jié)點(diǎn)都部署在網(wǎng)絡(luò)中,就通過(guò)廣播最小發(fā)射功率的構(gòu)造數(shù)據(jù)包啟動(dòng)施工階段(Pmin=0)以與鄰居直接連接如圖Power control based topology construction for the distributed wireless sensor networks AbstractWireless sensor network consists of large number of sensor nodes with limited battery power which are randomly deployed over certain area for several applications. Due to limited energy resource of sensors each of them should minimize the energy consumption to prolong the network lifetime. In this paper a distributed algorithm for the multihop wireless sensor network is proposed to construct a novel energy efficient tree topology without having location information of the nodes. Energy conservation of the nodes is acplished by controlling transmission power of the nodes. Besides maintenance of the network topology due to energy scarcity of the gateway nodes is also proposed in the protocol. Simulation results show that our distributed protocol can achieve energy conservation up to an optimum level similar to the centralized algorithm that we have considered and can extend the network lifetime as pared to other distributed algorithms without any power control. Keywords: Wireless sensor network;Distributed algorithm;Power control;Topology construction1. IntroductionRecent advances in hardware and software for the wireless network technologies have enabled the development of small sized, lowpower, lowcost and multifunctional sensor [1], which consists of sensing, data processing and wireless municating ponents. These nodes are operated with very low powered batteries and deployed hundreds to thousands in the wireless sensor network (WSN).In wireless sensor network, signal processing, munication activities using higher transmission power and forwarding of similar data packets along the multihop paths are main consumers of sensor energy. Besides, replenishing energy by replacing and recharging batteries on hundreds of nodes in most of the sensor network applications, particularly in harsh terrains is very difficult and sometimes infeasible too. Here, energy conservation [2], [3] and [4] of the sensor nodes is a critical issue in WSN, as the network lifetime totally depends on the durability of the battery.Sensor nodes are generally self organized to build the wireless sensor network, monitor the activities of the target and report the event or information to the sink or the base station (BS) in a multihop fashion. There are four main reporting models of the sensor network: event driven, query driven, periodical and mixed reporting. In event driven model, nodes report the sink, while sensing some events such as fire or flood alarm. In periodical reporting model, nodes collect the sensed data and may aggregate the required information into a set and then send them to the upstream periodically. The method of bining data is called data fusion [5], [6], [7] and [8],which reduces the amount of transmitted data. Some of the examples of such application may be cited here, like the reporting of transmitted data. Some of the examples of such applicat