## 1 Introduction  
Wireless sensor networks are renowned for having limited transmission ranges and organizing themselves in an _ad hoc_ fashion. When a wireless sensor cannot reach the receiver directly it relies on other sensor nodes to relay data between them. They are assumed to have constrained energy sources because they rely on batteries which may or may not be replaceable. Wireless sensor networks consist of large number of sensors [1-6], each equipped with the capability of sensing the physical environment, data processing and communicating wirelessly with other sensors. The number of nodes in a sensor network is significantly larger than other wireless networks; the difference can be of several orders of magnitude. Sensors are usually low-cost devices with severe constraints with respect to energy source, power, computation capabilities and memory. Sensors are usually densely deployed and the probability of failure is usually much higher. The sensors are usually stationary rather than constantly moving, however the network topology can still change frequently due to node failure. In our previous work [7,8] we studied multichannel communication based on the 802.11 DCF over a single radio for wireless sensor networks in order to improve its communication performance on throughput, end-to-end delay and channel access delay. The proposed backoff algorithm, MC-DCF, allows node to have access to multiple non-overlapping channels by accessing channels dynamically through channel switching after a set threshold has been met. We focus on high data rate streaming that would be considered for a sensor surveillance system that would be deployed for organization, parks, and vehicular traffic, not for remote monitoring. For this reason we had considered static nodes that are always powered and as such the depletion of battery life is not considered. In our previous papers we analyzed MC-DCF performance of the non-overlapping channels on the mentioned metric against other protocols, we studied the impact of the number of non-over-lapping channel in the 2.4 frequency band of the 802.11 network, we analyzed the density of the network, we examined the effect of the sink node receiving data directly from sources within its range and finally a performance analysis of 802.11a/b/g was done. We had observed that MC-DCF performed poorly when receiving data at the sink node due to a single radio that had to be constantly switching channels and consequently more work needed to be done in this area to improve the performance at the sink. We also observed that at 50 m range with 10 Mbps all networks performed well. In this paper we have focused on improving the severe degradation that was experienced at the sink node. We look at the relationship between communication links from a graph based approach; this approach has been formally modeled by researchers and we considered the following to improve our model:  
* Multiple sinks with single radio
* Single sink with multiple radios
* Single sink with multi-radios in a round robin fashion
* Multiple sink with multi-radios  
These solutions improve contention, limited bandwidth and interference which are some of the barriers preventing successful delivery of large amount of data. The multichannel MAC protocoldesigned to provide high throughput and high delivery ratio during high rate traffic in the IEEE 802.11 network that normally use as Access Points (APs) or at cluster heads in sensor networks. The WSN in our studies uses constant bit rate (CBR) for streaming data that mimics surveillance and multimedia sensor network data that is foreseen to pose significant problems operating in smaller networks such as IEEE 802.15.4 and IEEE 802.11n when it becomes popular in the future. Exploring the best possible use is a challenging problem, but we foresee the future of WSN operating on hand held devices such as mobile phones to sense and interact the surrounding environment for safety of individuals travelling in areas such as parks and or lonesome areas that trigger alerts to security personnel.