Wireless network in this modern era is more popular because of its efficiency, availability and convenience. As a consequence, congestion increases day by day. In this paper, we have proposed a method for lesser energy consumption and to set equilibrium in traffic with the help of BEEM and Token bucket procedure due their major advantages in wireless environment. So the main objective is to maintain load with BEEM and to control congestion such as average rate, maintain burst size with the help of token bucket algorithm, where wireless environment is of heterogeneous and cluster type. All simulation results are obtained by using MATLAB software.
KEYWORDS:Wireless, Sensor, BEEM, Protocol, Token, Energy,HEED.
I.INTRODUCTIONA Wireless Sensor network is a set of sensors, deployed in a sensor field to monitor specific characterization of the environment to measure those characteristic and collect the data related to the phenomena in which sensors are small devices with limited resources such as limited battery power, low memory, little computing capability, very low data rates, low bandwidth processing, variable link quality [1]. There is a balanced energy efficient multihop protocol which is mainly used in sensing networks. There are two perspectives that is longevity and balanced sensor distribution which leads from HEED and LEACH . It can guarantee the network coverage for a longer time, compared with HEED and LEACH. In BEEM nodes can communicate symmetrically. All the nodes are deployed randomly and placed at fixed location [2]. VivekKatiyar et al. [4] proposed and analyzed a new energy efficient clustering protocol (FZ-LEACH) that eliminates the above problem by forming Far-Zone. The simulation results and analysis shown that proposed FZ-LEACH algorithm outperforms LEACH in terms of energy consumption and network lifetime. Reetika Munjal, et al [5]studied the problems with LEACH protocol and presented an improved ideas to select the cluster head node. The main problem with the LEACH lies in the random selection of cluster heads. Shuo Shi et al. [6] used the simulated annealing algorithm to find the optimal solution with better position to reduce the energy loss of cluster heads. Thu Ngo Quynh [7] proposed a new hierarchical routing protocol (called EL-LEACH: Energy and Load balance LEACH) which achieved energy efficiency and load balance. Their simulation result shown that their new scheme EL-LEACH achieves better energy consumption, load balance and network life time than other well known LEACH protocols. Heinzelman, W. et . al.[10] presented the algorithms for adapting clusters and rotating cluster head positions to evenly distribute the energy load among all the nodes, and techniques to enable distributed signal processing to save communication resources. Babaie, S. [11] proposed algorithm adjusts the threshold of each node gradually according to the number of live and dead nodes in each round, so more nodes could have the opportunity to be CHs. Simulation results demonstrated that the proposed alg...